{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":92,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":92,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"70df245c89ae","filters":{"venue":"Online Journal of Public Health Informatics"}},"results":[{"id":"W2107894836","doi":"10.5210/ojphi.v4i3.4321","title":"Towards an Effective Health Interventions Design: An Extension of the Health Belief Model","year":2012,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":444,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Health belief model; Psychological intervention; Transtheoretical model; Theory of planned behavior; Behavior change; Psychology; Intervention (counseling); Social psychology; Computer science; Health promotion; Medicine; Artificial intelligence; Public health; Nursing","authors":[{"name":"Rita Orji","is_ca":true},{"name":"Julita Vassileva","is_ca":true},{"name":"Regan L. Mandryk","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3098072156959414,"gpt":0.5123991951900695,"spread":0.2025919794941281,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02804207,0.0012179,0.001395911,0.001988437,0.0007880882,0.002932473,0.002191342,0.002874681,0.004768352],"category_scores_gemma":[0.04264044,0.0007939765,0.001769701,0.001592426,0.002271358,0.003409605,0.002972397,0.002743859,0.0005366238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002187825,"about_ca_system_score_gemma":0.006225778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001863419,"about_ca_topic_score_gemma":0.002125533,"domain_scores_codex":[0.9753538,0.02147828,0.000518354,0.0009680951,0.001431854,0.000249672],"domain_scores_gemma":[0.9678724,0.02733095,0.001490964,0.001154018,0.001620092,0.0005316935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004495766,0.002077355,0.01403949,0.005356857,0.001000669,0.0002886797,0.004818528,0.06912695,0.001369198,0.3406153,0.004695121,0.5561623],"study_design_scores_gemma":[0.0009137924,0.0022005,0.008044054,0.004481413,0.001009907,0.0002564305,0.001682923,0.3219794,0.0009424199,0.6389496,0.01938924,0.0001502818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02939952,0.002678456,0.9420296,0.01179036,0.0002358889,0.002683387,0.0002101323,0.0002886761,0.01068391],"genre_scores_gemma":[0.1736288,0.001744931,0.8177952,0.001383424,0.00008570517,0.004655512,0.0001092444,0.00001698396,0.0005801754],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02804207,"threshold_uncertainty_score":0.1483024,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2890300124","doi":"10.5210/ojphi.v10i2.8270","title":"Effective uses of social media in public health and medicine: a systematic review of systematic reviews","year":2018,"lang":"en","type":"review","venue":"Online Journal of Public Health Informatics","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":289,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Systematic review; Social media; Psychosocial; Confidentiality; Public health; Medicine; Grey literature; Alternative medicine; Health care; Medical education; Mental health; MEDLINE; Public relations; Psychology; Nursing; Computer science; Psychiatry; Political science; World Wide Web; Pathology","authors":[{"name":"Dean Giustini","is_ca":true},{"name":"Syed Mustafa Ali","is_ca":false},{"name":"Matthew Fraser","is_ca":false},{"name":"Maged N. Kamel Boulos","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4745295296630849,"gpt":0.5434433949898158,"spread":0.06891386532673088,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05991656,0.002322465,0.01003431,0.0220456,0.001225528,0.004584495,0.002596727,0.002650646,0.003852768],"category_scores_gemma":[0.2041864,0.001889228,0.00850652,0.02134681,0.002442471,0.005653016,0.003421484,0.002169967,0.0003478248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007919278,"about_ca_system_score_gemma":0.02586207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007974342,"about_ca_topic_score_gemma":0.02379167,"domain_scores_codex":[0.8916939,0.06181815,0.0262865,0.003891424,0.01512111,0.001188911],"domain_scores_gemma":[0.7583773,0.1930662,0.03035216,0.003524602,0.01332547,0.001354376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001273675,0.00001452886,0.0008110284,0.9559255,0.008248926,0.00005944647,0.0005015727,0.00009171554,0.00009802944,0.000301178,0.001944417,0.0318762],"study_design_scores_gemma":[0.0001762273,0.0001243464,0.002135793,0.96351,0.02468779,0.0001085703,0.0004085171,0.00008263269,0.0001196405,0.0004356213,0.008180049,0.00003087134],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001237064,0.9941077,0.0005337556,0.001186823,0.000269394,0.00147908,0.0006953567,0.00002797457,0.0004627628],"genre_scores_gemma":[0.03888256,0.9471025,0.005124471,0.001621271,0.0002907412,0.006251063,0.000527563,0.0000218733,0.0001779204],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05991656,"threshold_uncertainty_score":0.3168728,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2094444890","doi":"10.5210/ojphi.v5i2.4623","title":"Google Scholar is not enough to be used alone for systematic reviews","year":2013,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":182,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia Hospital","funders":"","keywords":"Information retrieval; Systematic review; PsycINFO; Scopus; Computer science; MEDLINE; World Wide Web; Web of science; Social media; Biology","authors":[{"name":"Dean Giustini","is_ca":true},{"name":"Maged N. Kamel Boulos","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.8577026414037593,"gpt":0.5784062238227388,"spread":0.2792964175810205,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4879015,0.003941103,0.01922989,0.07118983,0.005104245,0.03801275,0.009764382,0.01733322,0.02561961],"category_scores_gemma":[0.8371953,0.006944949,0.01000054,0.07459852,0.02033305,0.03114637,0.02005649,0.0137038,0.01666857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01544069,"about_ca_system_score_gemma":0.06459939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006594275,"about_ca_topic_score_gemma":0.01070005,"domain_scores_codex":[0.2404494,0.5117291,0.1351938,0.02312184,0.08588433,0.003621457],"domain_scores_gemma":[0.07336082,0.6879789,0.1040869,0.05769714,0.06918845,0.007687826],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008357119,0.0001056154,0.002931389,0.4632868,0.008773797,0.0007961406,0.01057723,0.001198561,0.001559576,0.04385676,0.2546455,0.2114329],"study_design_scores_gemma":[0.001257063,0.0005094502,0.004825906,0.4553643,0.004806427,0.001534592,0.003788914,0.002302538,0.001001335,0.1191201,0.4044737,0.001015715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005758847,0.3266166,0.07087638,0.4795997,0.05165496,0.01240886,0.01307131,0.00524508,0.03476835],"genre_scores_gemma":[0.1424565,0.2532756,0.3071257,0.1882862,0.0326003,0.0481397,0.01223819,0.007829182,0.008048667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5120986,"threshold_uncertainty_score":0.6315086,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2068589268","doi":"10.5210/ojphi.v5i3.4933","title":"The Challenge of Big Data in Public Helth: An Opportunity for Visual Analytics","year":2014,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Big data; Variety (cybernetics); Data science; Computer science; Analytics; Visual analytics; Cognition; Work (physics); Cultural analytics; Visualization; Knowledge management; World Wide Web; Artificial intelligence; Psychology; The Internet; Data mining; Engineering; Semantic analytics","authors":[{"name":"Kamran Sedig","is_ca":true},{"name":"Oluwakemi Ola","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3574789185532871,"gpt":0.4381327386880237,"spread":0.08065382013473654,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01297886,0.000861886,0.0007463543,0.005375036,0.002888996,0.01874098,0.002174031,0.003178549,0.009291682],"category_scores_gemma":[0.0275538,0.0007389649,0.001203383,0.004490872,0.007378206,0.02178342,0.0135648,0.00548566,0.00148696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002590712,"about_ca_system_score_gemma":0.003203255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00237344,"about_ca_topic_score_gemma":0.003626588,"domain_scores_codex":[0.9946355,0.0036648,0.0002081733,0.0003507787,0.000895393,0.0002451983],"domain_scores_gemma":[0.9716026,0.02043827,0.0008974562,0.003798284,0.001450047,0.001813485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002620385,0.0001388918,0.005774005,0.001488409,0.0001219324,0.001076843,0.03498344,0.005709833,0.003092886,0.6010876,0.09054229,0.2557218],"study_design_scores_gemma":[0.00003816095,0.00004655457,0.001340106,0.001138375,0.00003105476,0.000576276,0.02005443,0.009016687,0.001331117,0.6168044,0.3495365,0.00008630059],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03586314,0.01684909,0.6047108,0.214244,0.004376679,0.0004222364,0.002530112,0.00588064,0.1151233],"genre_scores_gemma":[0.4695647,0.01012993,0.4939334,0.01020989,0.002773049,0.000519029,0.001543094,0.001935594,0.009391252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01874098,"threshold_uncertainty_score":0.06863958,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3024727785","doi":"10.5210/ojphi.v12i1.10335","title":"Personality and Subjective Well-Being: Towards Personalized Persuasive Interventions for Health and Well-Being","year":2020,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Happiness; Subjective well-being; Psychological intervention; Personality; Psychology; Big Five personality traits; Well-being; Agreeableness; Neuroticism; Social psychology; Life satisfaction; Applied psychology; Extraversion and introversion; Psychotherapist","authors":[{"name":"Aisha Muhammad Abdullahi","is_ca":false},{"name":"Rita Orji","is_ca":true},{"name":"Abbas Muhammad Rabiu","is_ca":false},{"name":"Abdullahi Abubakar Kawu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1191831991745987,"gpt":0.4252121766277797,"spread":0.306028977453181,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005154415,0.0003576894,0.0003007941,0.0007615268,0.0004723715,0.002000552,0.0003910825,0.0005521354,0.00299215],"category_scores_gemma":[0.01185451,0.0002015873,0.0005280934,0.0004105492,0.0004809813,0.001192892,0.0009823537,0.001181434,0.0003680705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005515213,"about_ca_system_score_gemma":0.001361481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008726631,"about_ca_topic_score_gemma":0.001835612,"domain_scores_codex":[0.9982916,0.001259943,0.00005600623,0.00009409326,0.0002033927,0.00009495278],"domain_scores_gemma":[0.9952111,0.003386697,0.0004549497,0.0001669652,0.0002941026,0.000486256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004319874,0.003341765,0.08481745,0.002497112,0.000252912,0.0003569418,0.02580354,0.001253276,0.004685328,0.00830659,0.004574728,0.8636783],"study_design_scores_gemma":[0.0009913454,0.008748701,0.6556016,0.01020942,0.001994903,0.001744962,0.06986301,0.02689324,0.009905157,0.0808875,0.1329062,0.0002540419],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8852676,0.008010378,0.04323933,0.02073602,0.000458971,0.0008396717,0.0001245847,0.0002802419,0.04104322],"genre_scores_gemma":[0.9593136,0.003268739,0.0339455,0.001263926,0.00009925906,0.0004409558,0.00005170056,0.0000134293,0.001602901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005154415,"threshold_uncertainty_score":0.02725947,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2561057401","doi":"10.5210/ojphi.v8i3.7100","title":"Beyond simple charts: Design of visualizations for big health data","year":2016,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Big data; Computer science; Data science; Sensemaking; Variety (cybernetics); Data visualization; Visualization; Population; Human–computer interaction; Data mining; Artificial intelligence; Medicine","authors":[{"name":"Oluwakemi Ola","is_ca":true},{"name":"Kamran Sedig","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2713751422340808,"gpt":0.4382312369354769,"spread":0.1668560947013961,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01407313,0.002169165,0.0009713901,0.003207669,0.00159867,0.00894792,0.003688664,0.001627018,0.006106157],"category_scores_gemma":[0.04012727,0.001515357,0.002070715,0.002248927,0.002502237,0.007188212,0.005016933,0.002869234,0.001259633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187053,"about_ca_system_score_gemma":0.002885654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002504277,"about_ca_topic_score_gemma":0.003081485,"domain_scores_codex":[0.9931069,0.003773692,0.0006476415,0.0007733217,0.001318985,0.0003794465],"domain_scores_gemma":[0.9767712,0.01285327,0.001379122,0.003023671,0.004299989,0.001672678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001229153,0.0005266811,0.01122318,0.003712713,0.0004444236,0.002501723,0.03587823,0.08602326,0.03165703,0.3289671,0.05235347,0.4454831],"study_design_scores_gemma":[0.0005052663,0.0005636314,0.003137265,0.001517913,0.0003038027,0.0009627605,0.005692182,0.3898537,0.02794526,0.259985,0.3090621,0.0004710017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005622166,0.0002856499,0.9837363,0.0008670416,0.0001104189,0.0005097126,0.000378882,0.006237772,0.002251995],"genre_scores_gemma":[0.0448592,0.0003027685,0.9513615,0.000138266,0.00004127678,0.0005593866,0.0006119262,0.0009766059,0.001149034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01407313,"threshold_uncertainty_score":0.07442671,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2752241902","doi":"10.5210/ojphi.v9i2.8000","title":"Interactive visualization of public health indicators to support policymaking: An exploratory study","year":2017,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; Western University","funders":"","keywords":"Usability; Computer science; Visualization; Learnability; Process (computing); Data science; Interactive visualization; Health care; Health informatics; Health indicator; Human–computer interaction; Public health; Knowledge management; Data mining; Medicine","authors":[{"name":"Moutasem Zakkar","is_ca":true},{"name":"Kamran Sedig","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1950743459798776,"gpt":0.4784536351605938,"spread":0.2833792891807163,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0213752,0.0006914011,0.0006398774,0.00223984,0.001880724,0.003639027,0.001238492,0.00140851,0.003357851],"category_scores_gemma":[0.05503662,0.0004723762,0.0006251459,0.002189355,0.001976709,0.004128585,0.002857245,0.001206267,0.0004329646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012468,"about_ca_system_score_gemma":0.001836899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001327462,"about_ca_topic_score_gemma":0.001478651,"domain_scores_codex":[0.9858443,0.01189374,0.0003872707,0.0003696064,0.000960356,0.0005447467],"domain_scores_gemma":[0.9086012,0.08316413,0.002422236,0.002321543,0.002677013,0.0008138712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0007089456,0.003911609,0.06525234,0.003401666,0.00009804917,0.003388599,0.7529014,0.002122652,0.01065182,0.008326808,0.004110219,0.1451258],"study_design_scores_gemma":[0.0004406994,0.005868207,0.08566567,0.004040767,0.0003424258,0.003637827,0.7335911,0.01888382,0.01772568,0.0104421,0.1190478,0.0003139364],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682751,0.0005639811,0.02057966,0.0009782771,0.00003465825,0.001059855,0.0002784187,0.0003147283,0.007915321],"genre_scores_gemma":[0.9600356,0.0006688026,0.03631211,0.0002623221,0.00003382464,0.001272805,0.0001582517,0.00009003298,0.001166211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0213752,"threshold_uncertainty_score":0.1130442,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2526464623","doi":"10.5210/ojphi.v8i2.6733","title":"Using Principal Component Analysis to Identify Priority Neighbourhoods for Health Services Delivery by Ranking Socioeconomic Status","year":2016,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Guelph General Hospital; University of Guelph","funders":"","keywords":"Census; Socioeconomic status; Neighbourhood (mathematics); Household income; Ranking (information retrieval); Geography; American Community Survey; Medicine; Environmental health; Population; Computer science; Mathematics","authors":[{"name":"Christine Elizabeth Friesen","is_ca":true},{"name":"Patrick Seliske","is_ca":true},{"name":"Andrew Papadopoulos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08549380906738735,"gpt":0.4434717036562945,"spread":0.3579778945889072,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002787564,0.0009923512,0.0005219541,0.005473332,0.0009793222,0.002205501,0.0005156833,0.0001903204,0.004354017],"category_scores_gemma":[0.0103465,0.0002368689,0.001077589,0.005258181,0.0003096826,0.0006514812,0.00120796,0.0004835879,0.0004500347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605767,"about_ca_system_score_gemma":0.004849939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.100239,"about_ca_topic_score_gemma":0.1545649,"domain_scores_codex":[0.9982904,0.0007509276,0.0001436296,0.0002363896,0.0004512116,0.000127464],"domain_scores_gemma":[0.9981312,0.0006121281,0.0002642436,0.0001446265,0.0007410138,0.0001067628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003571832,0.0003304697,0.6163454,0.0007055582,0.001161075,0.0002005931,0.003508337,0.007571025,0.002329813,0.006425642,0.01586878,0.3451961],"study_design_scores_gemma":[0.00009454929,0.0003085857,0.877253,0.0003311507,0.0005664778,0.000124867,0.005737078,0.08896976,0.001334339,0.01144785,0.01371942,0.0001129726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7798967,0.0007930252,0.1850821,0.001425212,0.0002055028,0.002814587,0.008946984,0.001002414,0.01983353],"genre_scores_gemma":[0.8478594,0.0004023101,0.143985,0.00005739223,0.00002708066,0.001192482,0.004117418,0.0000747155,0.002284163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.100239,"threshold_uncertainty_score":0.1993111,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1663063557","doi":"10.5210/ojphi.v7i2.5931","title":"What’s Past is Prologue: A Scoping Review of Recent Public and Global Health Informatics Literature","year":2015,"lang":"en","type":"review","venue":"Online Journal of Public Health Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; Johns Hopkins Bloomberg School of Public Health; Weill Cornell Medical College; University of Illinois at Urbana-Champaign; Agency for Healthcare Research and Quality; RTI International; Johns Hopkins University; Centers for Disease Control and Prevention; British Columbia Institute of Technology; University of Washington; U.S. Department of Veterans Affairs","keywords":"Health informatics; eHealth; Informatics; Information and Communications Technology; Public health informatics; Telemedicine; Medicine; Health Administration Informatics; Public health; Health care; Computer science; Library science; Political science; World Wide Web; Nursing; Health policy; International health","authors":[{"name":"Brian E. Dixon","is_ca":false},{"name":"Jamie Pina","is_ca":false},{"name":"Hadi Kharrazi","is_ca":false},{"name":"Fardad Gharghabi","is_ca":false},{"name":"Janise Richards","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2991571629521631,"gpt":0.5590412965147215,"spread":0.2598841335625584,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02428349,0.001540214,0.004380032,0.04280199,0.002463742,0.008998214,0.002582238,0.004488487,0.006299888],"category_scores_gemma":[0.08702239,0.001680672,0.004575621,0.03130613,0.003022676,0.009493565,0.00373575,0.00267191,0.001145581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007049345,"about_ca_system_score_gemma":0.02985653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008232251,"about_ca_topic_score_gemma":0.02754484,"domain_scores_codex":[0.9804956,0.006699652,0.007248142,0.0014023,0.003515085,0.0006392408],"domain_scores_gemma":[0.8945727,0.07094917,0.01776229,0.001999777,0.01296306,0.001752982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001315997,0.00006423647,0.001811514,0.8135197,0.001722385,0.0003298074,0.00218636,0.0001440576,0.0004510474,0.002223417,0.01284516,0.1645707],"study_design_scores_gemma":[0.00002413517,0.00006578775,0.001425112,0.9391499,0.002280131,0.0003389861,0.001572431,0.00004476796,0.0001104533,0.0007830664,0.05418292,0.00002228592],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009268071,0.9928963,0.0003178155,0.00348422,0.0008987763,0.0002458051,0.0003023027,0.00001112818,0.0009168148],"genre_scores_gemma":[0.00897584,0.9834597,0.001339165,0.003988745,0.0007360736,0.0007786938,0.0003870252,0.00001494029,0.0003198672],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04280199,"threshold_uncertainty_score":0.1284249,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2167286483","doi":"10.5210/ojphi.v5i1.4470","title":"Influenza Forecasting with Google Flu Trends","year":2013,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Division of Civil, Mechanical and Manufacturing Innovation; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Homeland Security; National Science Foundation","keywords":"Computer science; Warning system; Selection (genetic algorithm); Seasonal influenza; Model selection; Coronavirus disease 2019 (COVID-19); Data mining; Data science; Medicine; Machine learning; Infectious disease (medical specialty); Telecommunications; Disease","authors":[{"name":"Andrea Dugas","is_ca":false},{"name":"Mehdi Jalalpour","is_ca":false},{"name":"Yulia R. Gel","is_ca":false},{"name":"Scott Levin","is_ca":false},{"name":"Fred Torcaso","is_ca":false},{"name":"Takeru Igusa","is_ca":false},{"name":"Richard E. Rothman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1193108027593693,"gpt":0.3546440358282462,"spread":0.2353332330688769,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009421522,0.0006325783,0.000431564,0.001251304,0.000172503,0.0006151347,0.0005495347,0.0004683379,0.001319686],"category_scores_gemma":[0.004706438,0.0002842606,0.0005770381,0.001110473,0.0001320976,0.0009857683,0.0004072453,0.0004352238,0.0004349445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000512007,"about_ca_system_score_gemma":0.0006277998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0454716,"about_ca_topic_score_gemma":0.0300895,"domain_scores_codex":[0.9996951,0.0001002371,0.0000275906,0.000060193,0.00008154386,0.00003533034],"domain_scores_gemma":[0.9989368,0.0005598615,0.000109549,0.00009951465,0.0002505509,0.0000436473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000288261,0.00009168444,0.05300966,0.0001084545,0.0001076869,0.0001521119,0.00007475234,0.8917009,0.0009272659,0.003632069,0.003599184,0.04630793],"study_design_scores_gemma":[0.000009532831,0.00004276056,0.003536606,0.000006916247,0.00001584041,0.00002823932,0.00001774467,0.9940509,0.0004953171,0.000803953,0.0009841478,0.000007904155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8583023,0.000514036,0.1161606,0.001228873,0.0002106978,0.0002039888,0.0104005,0.003651968,0.009327126],"genre_scores_gemma":[0.9655098,0.000175287,0.02872115,0.000037461,0.00003837402,0.00005432302,0.004488305,0.00004258889,0.0009327689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0454716,"threshold_uncertainty_score":0.09041387,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2127760037","doi":"10.5210/ojphi.v4i3.4270","title":"Beyond information access: Support for complex cognitive activities in public health informatics tools","year":2012,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Health informatics; Informatics; Computer science; Public health informatics; Variety (cybernetics); Data science; Engineering informatics; Public health; Health informatics tools; Health Administration Informatics; Perception; Knowledge management; Human–computer interaction; Cognition; Artificial intelligence; Medicine; Psychology; Health policy; Engineering; HRHIS","authors":[{"name":"Kamran Sedig","is_ca":true},{"name":"Paul Parsons","is_ca":true},{"name":"Mark Dittmer","is_ca":true},{"name":"Oluwakemi Ola","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.22760457063556,"gpt":0.4336423978833671,"spread":0.2060378272478071,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007689303,0.001013928,0.0005768467,0.001298361,0.001492552,0.01153254,0.002584602,0.002183424,0.007337066],"category_scores_gemma":[0.04740721,0.0006544224,0.0006878243,0.001104879,0.003647775,0.01182245,0.005724284,0.001395794,0.0008656927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110065,"about_ca_system_score_gemma":0.00190112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467671,"about_ca_topic_score_gemma":0.001083382,"domain_scores_codex":[0.9926915,0.004604947,0.0004557452,0.0006787655,0.001095644,0.0004734501],"domain_scores_gemma":[0.9643545,0.02779016,0.001511107,0.003352547,0.00170443,0.001287226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001390688,0.001497229,0.01033451,0.002539999,0.0001169388,0.001739648,0.1217205,0.01300884,0.04119825,0.2152927,0.01044417,0.5807166],"study_design_scores_gemma":[0.0008484877,0.001530402,0.01539555,0.002116016,0.0004201897,0.002290569,0.03231245,0.122839,0.03777242,0.5823438,0.2016927,0.0004384802],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2200581,0.0007460357,0.6989225,0.007132527,0.0001128986,0.0008280325,0.0001582938,0.007094842,0.06494677],"genre_scores_gemma":[0.7870027,0.0002904769,0.2078468,0.0003919687,0.0000522736,0.0005622301,0.000157882,0.0003320418,0.003363679],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01153254,"threshold_uncertainty_score":0.04066539,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2135584462","doi":"10.5210/ojphi.v6i2.5470","title":"Google and Women’s Health-Related Issues: What Does the Search Engine Data Reveal?","year":2014,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Medicine; Urogynecology; Public health; Family medicine; Pregnancy; Gynecology; Breast cancer; Obstetrics and gynaecology; Alternative medicine; Obstetrics; Cancer; Internal medicine; Nursing; Surgery; Pathology","authors":[{"name":"Haim A. Abenhaim","is_ca":true},{"name":"Mazin Baazeem","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07836314306491056,"gpt":0.3761862297215173,"spread":0.2978230866566067,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00688293,0.00048192,0.001483756,0.02393057,0.0005934264,0.005615218,0.0009547545,0.001632025,0.004925258],"category_scores_gemma":[0.07569213,0.0004902852,0.0009726542,0.03598791,0.001566251,0.008976317,0.002090801,0.00116504,0.001869525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692912,"about_ca_system_score_gemma":0.003502958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02449983,"about_ca_topic_score_gemma":0.05110788,"domain_scores_codex":[0.9913375,0.001977599,0.002360999,0.0007324097,0.002958939,0.0006324674],"domain_scores_gemma":[0.885368,0.083059,0.01935444,0.002523522,0.00800933,0.001685644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006180641,0.0001094316,0.6406483,0.05090851,0.0008027953,0.001123695,0.01114836,0.0005469002,0.001352441,0.005568281,0.08076157,0.2064117],"study_design_scores_gemma":[0.00005198172,0.000188463,0.7514782,0.02403427,0.0006550059,0.003130536,0.01937973,0.001160226,0.0007514139,0.004034483,0.1949818,0.0001539492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4359809,0.2204586,0.002413788,0.1083248,0.0009988485,0.0003598225,0.193139,0.0003816721,0.03794251],"genre_scores_gemma":[0.8159574,0.09511656,0.003697389,0.013679,0.001755992,0.0004292264,0.06632167,0.0002463686,0.002796354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02449983,"threshold_uncertainty_score":0.04871446,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3025523449","doi":"10.5210/ojphi.v12i1.10321","title":"Understanding Discussions of Health Issues on Twitter: A Visual Analytic Study","year":2020,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University; University of British Columbia","funders":"","keywords":"Social media; Computer science; Data science; Health promotion; Variety (cybernetics); Analytics; Social media analytics; World Wide Web; Process (computing); Internet privacy; Public health; Medicine; Artificial intelligence","authors":[{"name":"Oluwakemi Ola","is_ca":true},{"name":"Kamran Sedig","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4244830553391144,"gpt":0.4648751686996756,"spread":0.0403921133605612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006276014,0.0005628687,0.0003365889,0.005718159,0.003594299,0.006146802,0.001017632,0.001339688,0.00362776],"category_scores_gemma":[0.02635456,0.0002911815,0.0006084148,0.004036948,0.003419032,0.006370014,0.004088633,0.001439762,0.000609508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002927156,"about_ca_system_score_gemma":0.001519398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008006569,"about_ca_topic_score_gemma":0.00868907,"domain_scores_codex":[0.9962843,0.002453181,0.0001609958,0.0002483873,0.0005623538,0.000290707],"domain_scores_gemma":[0.9789478,0.01689314,0.001619882,0.0004604603,0.001584137,0.0004946535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002325689,0.0001465325,0.02799666,0.0005105225,0.00002547255,0.001092675,0.9184994,0.000491636,0.004360694,0.008341672,0.004063117,0.0342391],"study_design_scores_gemma":[0.00002496556,0.00009983547,0.02042399,0.0003980695,0.00002841745,0.0004300409,0.9297796,0.004925405,0.001736042,0.006660283,0.03542738,0.00006595979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550803,0.0005735407,0.01286047,0.004657504,0.00009595756,0.0006268514,0.001071558,0.0001336752,0.02490013],"genre_scores_gemma":[0.9842979,0.0005712115,0.01032722,0.0003928913,0.00006395559,0.0004980359,0.0005048605,0.00009815212,0.003245818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008006569,"threshold_uncertainty_score":0.03319114,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2804591035","doi":"10.5210/ojphi.v10i1.8912","title":"Revitalizing the Global Public Health Intelligence Network (GPHIN)","year":2018,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Relevance (law); Computer science; Situation awareness; Data science; Government (linguistics); Artificial intelligence; Knowledge management; Engineering; Political science","authors":[{"name":"Dave Carter","is_ca":true},{"name":"Marta Stojanovic","is_ca":true},{"name":"Berry de Bruijn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1393976700846671,"gpt":0.4089411339882786,"spread":0.2695434639036115,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03001282,0.001008148,0.0005112611,0.003421023,0.001770156,0.006912036,0.003655988,0.001892508,0.008699961],"category_scores_gemma":[0.03979948,0.000638139,0.0007054321,0.003174585,0.003546633,0.01388274,0.01004255,0.004420185,0.00460656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007785109,"about_ca_system_score_gemma":0.02502388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0529335,"about_ca_topic_score_gemma":0.04440599,"domain_scores_codex":[0.9899004,0.003691123,0.0004850113,0.001431529,0.003628807,0.000863168],"domain_scores_gemma":[0.9466227,0.01310061,0.00166666,0.01279357,0.01936611,0.006450368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003070861,0.0001474381,0.008223752,0.0005878735,0.00007444303,0.0002636624,0.002881086,0.006265698,0.003098672,0.06495057,0.4218169,0.4913829],"study_design_scores_gemma":[0.00003047922,0.00006134911,0.002267915,0.0003867615,0.00001756941,0.00006539927,0.0005942676,0.009322575,0.001630925,0.01507289,0.9704939,0.00005607062],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.03814355,0.008209696,0.4178613,0.2805311,0.01241248,0.002177317,0.01598904,0.06095995,0.1637156],"genre_scores_gemma":[0.15949,0.006818948,0.6750393,0.02639506,0.004376307,0.001061583,0.05135104,0.01067444,0.06479335],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.0529335,"threshold_uncertainty_score":0.1587248,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2148821410","doi":"10.5210/ojphi.v3i1.3514","title":"Innovative technology for web-based data management during an outbreak","year":2011,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Public Health Agency of Canada","funders":"Alberta Health Services","keywords":"Computer science; Data management; Data sharing; Data extraction; Data collection; Web application; Record linkage; Data science; Data mining; World Wide Web; Database; Medicine; MEDLINE","authors":[{"name":"Shamir Mukhi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1762077208803555,"gpt":0.3920102137263348,"spread":0.2158024928459793,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008659077,0.0005934813,0.0004855965,0.003853387,0.0009829617,0.004790273,0.001749745,0.001288284,0.003045837],"category_scores_gemma":[0.01838841,0.0006110476,0.0007203089,0.003640899,0.0008547548,0.006106321,0.003152277,0.001597118,0.001821638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008742465,"about_ca_system_score_gemma":0.002173513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001425528,"about_ca_topic_score_gemma":0.001048806,"domain_scores_codex":[0.9925824,0.002939302,0.001134156,0.0008697899,0.002302438,0.000171786],"domain_scores_gemma":[0.9814506,0.00887761,0.001389444,0.004729474,0.002869822,0.0006830756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000553063,0.0006119123,0.01368173,0.000983768,0.0002083868,0.0009451714,0.003131636,0.003675692,0.02813059,0.03178834,0.03168245,0.8846073],"study_design_scores_gemma":[0.0005565915,0.0008532755,0.02594026,0.001935009,0.0004237245,0.00507877,0.002396238,0.08809841,0.07279645,0.06978875,0.7315159,0.0006165597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03809718,0.001774468,0.9029678,0.006124366,0.0007271686,0.002164947,0.002479168,0.01772784,0.02793708],"genre_scores_gemma":[0.1586546,0.001733797,0.8252305,0.0014255,0.000506197,0.001627751,0.00310921,0.0005470138,0.007165474],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008659077,"threshold_uncertainty_score":0.04579413,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2890645415","doi":"10.5210/ojphi.v10i2.9114","title":"An innovative mobile data collection technology for public health in a field setting","year":2018,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Health Canada; University of Toronto; First Nations Health and Social Secretariat of Manitoba; Public Health Agency of Canada; Canadian Women's Health Network; Sunnybrook Health Science Centre","funders":"","keywords":"Data collection; Mobile technology; Computer science; Public health surveillance; Mobile device; Health informatics; Data science; Public health; World Wide Web; Knowledge management; Medicine; Nursing","authors":[{"name":"Shamir Mukhi","is_ca":true},{"name":"Karna Dhiravani","is_ca":true},{"name":"Brad Micholson","is_ca":true},{"name":"Lin Yan","is_ca":true},{"name":"Jenna Hatchard","is_ca":true},{"name":"Samira Mubareka","is_ca":true},{"name":"Christopher M. Bergeron","is_ca":true},{"name":"Tim Beattie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1162394518348574,"gpt":0.4403923307946353,"spread":0.3241528789597779,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005132378,0.00099502,0.0004464409,0.002262752,0.001269082,0.002303662,0.001888368,0.001444651,0.009998923],"category_scores_gemma":[0.01110514,0.000421961,0.0006265649,0.001324336,0.0008458094,0.002265837,0.003824745,0.00104973,0.002542341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00134118,"about_ca_system_score_gemma":0.004051807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.011237,"about_ca_topic_score_gemma":0.01307338,"domain_scores_codex":[0.9959039,0.00189375,0.000225695,0.0005073335,0.001071197,0.0003981499],"domain_scores_gemma":[0.9936812,0.003281663,0.0002373912,0.0005290544,0.001788273,0.0004824217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001311145,0.0005652367,0.009921306,0.003451832,0.00009851572,0.001891104,0.01357842,0.001017037,0.04196729,0.009840488,0.06316493,0.8531927],"study_design_scores_gemma":[0.001189328,0.00395714,0.05354492,0.004055198,0.000515478,0.00516206,0.01673184,0.01886398,0.04170926,0.01904197,0.8344702,0.0007586568],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1717885,0.003219752,0.6574894,0.01514971,0.002402161,0.02463245,0.01180355,0.02166476,0.09184977],"genre_scores_gemma":[0.2855378,0.001638212,0.6698989,0.003836709,0.0005091046,0.01474434,0.002951403,0.00047101,0.02041242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.011237,"threshold_uncertainty_score":0.03344971,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2976152238","doi":"10.5210/ojphi.v11i2.10114","title":"VINCENT: A visual analytics system for investigating the online vaccine debate","year":2019,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Webometrics; Visual analytics; Computer science; Visualization; Analytics; Data science; Data visualization; World Wide Web; Data mining","authors":[{"name":"Anton Ninkov","is_ca":true},{"name":"Kamran Sedig","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07352131339177072,"gpt":0.3435894199334723,"spread":0.2700681065417015,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004563871,0.001432176,0.0008236204,0.006887276,0.000824789,0.004495099,0.002000042,0.001159026,0.01632298],"category_scores_gemma":[0.01859192,0.0007656493,0.00122235,0.0031791,0.0007509621,0.005467776,0.003784125,0.001492526,0.004396914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232721,"about_ca_system_score_gemma":0.00156586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005919279,"about_ca_topic_score_gemma":0.004898584,"domain_scores_codex":[0.9980972,0.0006761566,0.0002109398,0.0003814097,0.0005160585,0.0001182063],"domain_scores_gemma":[0.9891488,0.007170998,0.0006542692,0.00128064,0.001221612,0.0005236238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00336407,0.0006698956,0.01567522,0.00385863,0.0005373571,0.001222499,0.01363658,0.01931269,0.03195814,0.04855778,0.2948228,0.5663844],"study_design_scores_gemma":[0.000635909,0.0004799696,0.01425807,0.0008870467,0.0002577227,0.0009390505,0.003826267,0.3323714,0.03525756,0.1030237,0.5073972,0.0006661742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02615619,0.0007207238,0.6042305,0.001641073,0.000338702,0.001530107,0.03095921,0.3123974,0.02202606],"genre_scores_gemma":[0.2228843,0.0009685887,0.7133034,0.0009359029,0.0002817992,0.002214637,0.03287005,0.01423159,0.01230976],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01632298,"threshold_uncertainty_score":0.05460578,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3043877665","doi":"10.5210/ojphi.v12i1.10611","title":"Improving Accuracy for Diabetes Mellitus Prediction by Using Deepnet","year":2020,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"King Abdullah International Medical Research Center","keywords":"Machine learning; Decision tree; Artificial intelligence; Logistic regression; Computer science; Diabetes mellitus; Christian ministry; Data mining; Medicine","authors":[{"name":"Riyad Alshammari","is_ca":false},{"name":"Noorah Atiyah","is_ca":true},{"name":"Tahani Daghistani","is_ca":false},{"name":"Abdulwahhab Alshammari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2982121040592978,"gpt":0.4843266758629524,"spread":0.1861145718036545,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002148626,0.0007593061,0.0006272455,0.001460694,0.0003345518,0.001070881,0.0007718321,0.0007316832,0.001367914],"category_scores_gemma":[0.005292375,0.0002115095,0.0004948942,0.0008807221,0.0001510418,0.001121749,0.000764201,0.001019975,0.000589869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008879174,"about_ca_system_score_gemma":0.001297481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02325595,"about_ca_topic_score_gemma":0.02291501,"domain_scores_codex":[0.9994574,0.0001261126,0.0000625399,0.0001272912,0.0001197249,0.0001069302],"domain_scores_gemma":[0.9983253,0.0007844509,0.0001346758,0.0001389491,0.0005363354,0.00008023818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001119102,0.001000115,0.1318352,0.0002300652,0.0003555299,0.0003475458,0.0001488958,0.2536777,0.004455498,0.001393722,0.0142961,0.5911405],"study_design_scores_gemma":[0.00001770593,0.00008500402,0.006257857,0.00003407041,0.00003752884,0.00004822165,0.00005732702,0.9892507,0.002632209,0.0006674862,0.0008988577,0.0000130737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8751139,0.003717995,0.1037083,0.001818369,0.0006521649,0.000118683,0.003113589,0.003811807,0.007945199],"genre_scores_gemma":[0.96434,0.0005720225,0.03021896,0.0001807644,0.00006893442,0.0000295239,0.002916991,0.00003018682,0.001642637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02325595,"threshold_uncertainty_score":0.04624116,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2947511688","doi":"10.5210/ojphi.v11i1.9917","title":"EMS Heroin Overdoses with Refusal to Transport & Impacts on ED Overdose Surveillance","year":2019,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Centers for Disease Control and Prevention; Department for Public Health, Cabinet for Health and Family Services","keywords":"Heroin; Medicine; Emergency medical services; Medical emergency; Opioid overdose; Emergency department; Drug overdose; Quarter (Canadian coin); Emergency medicine; Poison control; Opioid; Psychiatry; (+)-Naloxone; Drug; Geography","authors":[{"name":"Peter Rock","is_ca":false},{"name":"Michael Singleton","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03615590338347123,"gpt":0.3421806418686066,"spread":0.3060247384851353,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002210984,0.0002889848,0.0001860469,0.001373067,0.0008286881,0.002052463,0.0006860904,0.0004336077,0.005674575],"category_scores_gemma":[0.01152529,0.0002401091,0.0005669033,0.001579583,0.0003887179,0.001799518,0.002946034,0.0009121994,0.0004639996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003392056,"about_ca_system_score_gemma":0.003514039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1180174,"about_ca_topic_score_gemma":0.1980782,"domain_scores_codex":[0.9970119,0.001078592,0.0003525173,0.0004566137,0.0005635752,0.0005367773],"domain_scores_gemma":[0.9927021,0.001302199,0.003040301,0.0003400163,0.00189961,0.000715773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002942954,0.00004303933,0.9832113,0.00004306056,0.00003074108,0.00005262087,0.0002223594,0.0002484329,0.00005490947,0.0001318968,0.001461427,0.01447082],"study_design_scores_gemma":[0.000003303149,0.00005344523,0.9943132,0.0001583069,0.00001878206,0.00007391426,0.001962881,0.0006212869,0.00009706445,0.00008874526,0.002603101,0.000005990022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732798,0.001530799,0.0008468965,0.006811286,0.00008557651,0.0001200236,0.00717636,0.00006147326,0.01008775],"genre_scores_gemma":[0.993503,0.0009794316,0.00125466,0.0007310918,0.00004903579,0.00008450522,0.001970292,0.00001049824,0.001417481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1180174,"threshold_uncertainty_score":0.234661,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2124623753","doi":"10.5210/ojphi.v2i3.3041","title":"DIAL: A Platform for real-time Laboratory Surveillance","year":2010,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Provincial Laboratory of Public Health; University of Alberta; Public Health Agency of Canada","funders":"","keywords":"Computer science; Data science; Domain (mathematical analysis); Data management; Data integration; Database; Data mining; World Wide Web","authors":[{"name":"Shamir Mukhi","is_ca":true},{"name":"Jennifer May‐Hadford","is_ca":true},{"name":"Sabrina S. Plitt","is_ca":true},{"name":"Jutta K. Preiksaitis","is_ca":true},{"name":"Bonita E. Lee","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04111636132465599,"gpt":0.3498060477025974,"spread":0.3086896863779414,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004578161,0.0007660172,0.0007181896,0.002740573,0.0005392886,0.002750578,0.003274576,0.0007577008,0.006066972],"category_scores_gemma":[0.008456691,0.0006501659,0.0006227725,0.001201155,0.0008103768,0.002999258,0.00661376,0.00163042,0.004435468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373758,"about_ca_system_score_gemma":0.002892087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00419683,"about_ca_topic_score_gemma":0.003008283,"domain_scores_codex":[0.9970696,0.0004974111,0.0003162986,0.0004626011,0.001400277,0.0002537825],"domain_scores_gemma":[0.9950073,0.001361625,0.0004110055,0.001220858,0.001022218,0.0009769842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002988297,0.0007829824,0.02329545,0.00124352,0.0002727832,0.0009998069,0.002051779,0.009027173,0.05640696,0.04027935,0.169755,0.692897],"study_design_scores_gemma":[0.0007961715,0.0007113612,0.01639036,0.0004181985,0.000249961,0.001801179,0.0006611698,0.1886093,0.06937613,0.03535667,0.6850356,0.0005939713],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01919752,0.0006539361,0.782195,0.00109361,0.0002723751,0.001253796,0.005697316,0.1777903,0.011846],"genre_scores_gemma":[0.2610773,0.0009732122,0.6833838,0.001971093,0.0003053755,0.001803162,0.02388853,0.004741031,0.02185663],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.006066972,"threshold_uncertainty_score":0.02421188,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1998840937","doi":"10.5210/ojphi.v3i1.3506","title":"Use of a Web Forum and an Online Questionnaire in the Detection and Investigation of an Outbreak","year":2011,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; Vancouver Coastal Health; BC Centre for Disease Control; Public Health Agency of Canada","funders":"","keywords":"Outbreak; The Internet; Public health; Web application; Population; Web 2.0; World Wide Web; Internet privacy; Medicine; Computer science; Data science; Environmental health; Pathology","authors":[{"name":"Tammy Leigh Stuart Chester","is_ca":true},{"name":"Marsha Taylor","is_ca":true},{"name":"Sara Forsting","is_ca":true},{"name":"Andrea Ellis","is_ca":true},{"name":"R. Ferguson Stirling","is_ca":true},{"name":"Eleni Galanis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1341050033251453,"gpt":0.3449675164132252,"spread":0.2108625130880799,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04486994,0.0008218615,0.0005916009,0.004495436,0.001075529,0.001594731,0.0006108729,0.001699621,0.002914658],"category_scores_gemma":[0.09077977,0.0004493814,0.0005730262,0.00138103,0.0008136752,0.002688959,0.002592954,0.0009679381,0.0007600518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005855128,"about_ca_system_score_gemma":0.001137957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004898991,"about_ca_topic_score_gemma":0.0007656811,"domain_scores_codex":[0.9628532,0.03079656,0.002166853,0.001299089,0.002079509,0.000804871],"domain_scores_gemma":[0.7970487,0.1766319,0.008786757,0.005688196,0.007346622,0.004497848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004572258,0.01178981,0.2215735,0.002200906,0.0002232277,0.004107542,0.05481872,0.001400993,0.01715532,0.001845884,0.005919939,0.6743919],"study_design_scores_gemma":[0.001951533,0.04466955,0.681657,0.004210161,0.0007920229,0.01224574,0.07566751,0.03908951,0.04542156,0.009151956,0.08381437,0.001329137],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481941,0.0004781294,0.03319295,0.00237951,0.0003921274,0.004411158,0.0005837377,0.0009258021,0.009442519],"genre_scores_gemma":[0.8985015,0.0003565411,0.09337475,0.0009305658,0.0001948182,0.004412306,0.0002565526,0.00007331731,0.001899762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04486994,"threshold_uncertainty_score":0.2372978,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2118205431","doi":"10.5210/ojphi.v6i2.5372","title":"Supporting the diffusion of healthy public policy in Canada: the Prevention Policies Directory","year":2014,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Canadian Partnership Against Cancer","funders":"Health Canada; Partenariat Canadien Contre Le Cancer","keywords":"Directory; Public policy; Public health; Citizen journalism; Public administration; Public relations; Health policy; Business; Political science; Medicine; Computer science; World Wide Web","authors":[{"name":"Christopher Politis","is_ca":true},{"name":"Michelle H. Halligan","is_ca":true},{"name":"Deb Keen","is_ca":true},{"name":"Jon Kerner","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4091247549994124,"gpt":0.6063578974953889,"spread":0.1972331424959765,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02109279,0.000314698,0.0003863819,0.007207874,0.01135879,0.008999575,0.001703288,0.0008519625,0.004059821],"category_scores_gemma":[0.05240489,0.0005385482,0.0002662125,0.01069164,0.002692598,0.004903064,0.005505949,0.001712848,0.00059258],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08157311,"about_ca_system_score_gemma":0.3128821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9549051,"about_ca_topic_score_gemma":0.9748488,"domain_scores_codex":[0.9898087,0.003405692,0.0007317902,0.0006091677,0.00416594,0.001278738],"domain_scores_gemma":[0.9292206,0.02753307,0.004247208,0.005024902,0.02335881,0.01061539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002868187,0.0005927269,0.130673,0.001085105,0.00005761434,0.000785589,0.1150525,0.002712101,0.002767321,0.03482842,0.08953744,0.6216214],"study_design_scores_gemma":[0.0001414886,0.0001819014,0.1462977,0.001238986,0.00008751587,0.00018886,0.1111169,0.0090615,0.004499787,0.009425944,0.7174215,0.0003379467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6202008,0.002801989,0.03574692,0.08227148,0.0004021781,0.003205904,0.01648881,0.005115965,0.2337661],"genre_scores_gemma":[0.8840528,0.001741909,0.08547206,0.002370551,0.00005038688,0.0009045242,0.004148404,0.0002570245,0.02100231],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9184269,"threshold_uncertainty_score":0.5918571,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2130325736","doi":"10.5210/ojphi.v4i3.4292","title":"An agent based model for simulating the spread of sexually transmitted infections","year":2012,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Agent-based model; Population; Computer science; Condom; Simulation; Artificial intelligence; Medicine; Immunology; Environmental health; Human immunodeficiency virus (HIV)","authors":[{"name":"Grant Rutherford","is_ca":true},{"name":"Marcia Friesen","is_ca":true},{"name":"R.D. McLeod","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4451422939213008,"gpt":0.5012973332652244,"spread":0.05615503934392357,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005768176,0.0006485055,0.0006383446,0.0006440292,0.0006514507,0.001313153,0.001655803,0.001733608,0.004302165],"category_scores_gemma":[0.002751401,0.0005052937,0.001010377,0.0007461325,0.0004889279,0.0008807233,0.0009522997,0.001168408,0.0005630079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008754998,"about_ca_system_score_gemma":0.001293396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02501745,"about_ca_topic_score_gemma":0.01449338,"domain_scores_codex":[0.9996514,0.0001676777,0.00002402015,0.00004828395,0.00006678122,0.00004174983],"domain_scores_gemma":[0.9988506,0.0007685735,0.0001188965,0.00005474324,0.0001286028,0.00007854376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002277384,0.00002621953,0.0008804452,0.00002162576,0.00002130466,0.00005338775,0.00004645238,0.9900699,0.0002949703,0.006469215,0.0002376241,0.001856186],"study_design_scores_gemma":[0.00001185391,0.00001423549,0.0001319684,0.000003850905,0.00000700736,0.00001127822,0.00001045277,0.9976157,0.00006132132,0.001401081,0.0007267916,0.000004471096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2499008,0.0006196886,0.7144573,0.001216646,0.0002396355,0.0003770208,0.002667354,0.001130825,0.02939076],"genre_scores_gemma":[0.8236691,0.0006436467,0.1569157,0.0001654636,0.00006098026,0.0006531794,0.0009485215,0.0001010151,0.0168425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02501745,"threshold_uncertainty_score":0.04974365,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2521897214","doi":"10.5210/ojphi.v8i2.6643","title":"Birth Month and Cardiovascular Disease Risk Association: Is meaningfulness in the eye of the beholder?","year":2016,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Birth, Development, and Health","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Western University","funders":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Disease; Medicine; Association (psychology); Demography; Randomness; Coronary heart disease; Psychology; Internal medicine; Statistics","authors":[{"name":"Eduard Poltavskiy","is_ca":false},{"name":"J. David Spence","is_ca":true},{"name":"Jeehyoung Kim","is_ca":false},{"name":"Heejung Bang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04856733994584145,"gpt":0.3079263305491561,"spread":0.2593589906033147,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.117681,0.0008548122,0.003014038,0.00453886,0.002970521,0.008475441,0.003107435,0.003378633,0.003536915],"category_scores_gemma":[0.375624,0.0007550044,0.001650352,0.006764629,0.02264467,0.01224005,0.00540917,0.008158942,0.0005161011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002104861,"about_ca_system_score_gemma":0.004905352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01089185,"about_ca_topic_score_gemma":0.01319041,"domain_scores_codex":[0.9418426,0.04451421,0.004188138,0.003171955,0.005615091,0.0006679863],"domain_scores_gemma":[0.612115,0.326513,0.01878153,0.0240251,0.01425758,0.004307793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002730063,0.0003350598,0.4327791,0.005516541,0.006587239,0.001969604,0.02889697,0.001331336,0.001222414,0.1253854,0.06942263,0.3238237],"study_design_scores_gemma":[0.0003264731,0.0008500441,0.1658674,0.004922542,0.001733456,0.001516076,0.01834564,0.003471792,0.0006671451,0.7246574,0.07729743,0.0003446717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.103422,0.1914443,0.05521209,0.6269281,0.01233116,0.0001692693,0.001710433,0.0001798631,0.008602714],"genre_scores_gemma":[0.833895,0.04881284,0.01920987,0.07115774,0.02445328,0.0002274288,0.0006046708,0.0002983434,0.001340931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.117681,"threshold_uncertainty_score":0.6223643,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2611354752","doi":"10.5210/ojphi.v9i1.7648","title":"Automated Classification of Alcohol Use by Text Mining of Electronic Medical Records","year":2017,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Manitoba; George & Fay Yee Centre for Healthcare Innovation","funders":"Mitacs","keywords":"Medical record; Computer science; Medicine; Health records; Health care; Unstructured data; Primary care; Disease; Data science; Information retrieval; Family medicine; Artificial intelligence; Data mining; Big data; Pathology","authors":[{"name":"Lisa M. Lix","is_ca":true},{"name":"Sree Nihit Munakala","is_ca":false},{"name":"Alexander Singer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1334890589865161,"gpt":0.4127568772933147,"spread":0.2792678183067986,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002840343,0.001157988,0.0009196899,0.01045387,0.0005910691,0.001675228,0.001224057,0.001027735,0.001285193],"category_scores_gemma":[0.01097116,0.0002864655,0.001063573,0.003972493,0.0003818697,0.00176904,0.001164764,0.000660681,0.001394075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007222483,"about_ca_system_score_gemma":0.001419238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004022625,"about_ca_topic_score_gemma":0.005062011,"domain_scores_codex":[0.9965714,0.0008344825,0.0008906585,0.000782214,0.0006859449,0.0002352482],"domain_scores_gemma":[0.9886165,0.005680217,0.002419304,0.0008740586,0.00214635,0.000263584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009433495,0.001630643,0.2470355,0.002683641,0.0004689815,0.001880478,0.0008210466,0.009967244,0.02915927,0.001248771,0.02295534,0.6812058],"study_design_scores_gemma":[0.0003179141,0.001206978,0.3691636,0.001229268,0.000754714,0.003472253,0.00220433,0.5231817,0.05202304,0.01019178,0.03606232,0.0001920264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7313281,0.007194235,0.159951,0.003436961,0.0007147203,0.003829263,0.08092147,0.006454045,0.006170233],"genre_scores_gemma":[0.6601379,0.002580693,0.2351261,0.0007329137,0.0007462318,0.00132117,0.09632543,0.0001167363,0.002912785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01045387,"threshold_uncertainty_score":0.01502132,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401218252","doi":"10.2196/56237","title":"Making Metadata Machine-Readable as the First Step to Providing Findable, Accessible, Interoperable, and Reusable Population Health Data: Framework Development and Implementation Study","year":2024,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Research Data Management Practices","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"International Science Council; International Development Research Centre; Wellcome Trust","keywords":"Computer science; Metadata; Interoperability; JSON; Discoverability; World Wide Web; SPARQL; Population; Linked data; Data integration; RDF; Data science; Information retrieval; Database; Semantic Web; Medicine","authors":[{"name":"David Amadi","is_ca":false},{"name":"Sylvia Kiwuwa-Muyingo","is_ca":false},{"name":"Tathagata Bhattacharjee","is_ca":false},{"name":"Amelia Taylor","is_ca":false},{"name":"Agnes Kiragga","is_ca":false},{"name":"Michael Ochola","is_ca":false},{"name":"Chifundo Kanjala","is_ca":false},{"name":"Arofan Gregory","is_ca":false},{"name":"Keith Tomlin","is_ca":false},{"name":"Jim Todd","is_ca":false},{"name":"Jay Greenfield","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3196107116433218,"gpt":0.5108904350443388,"spread":0.191279723401017,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.0504786,0.0012762,0.001015749,0.004996708,0.002583868,0.009549486,0.005835702,0.003108235,0.003450843],"category_scores_gemma":[0.04115554,0.001279705,0.003517965,0.003869319,0.005322048,0.01142439,0.01145198,0.004111344,0.001745007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005931322,"about_ca_system_score_gemma":0.02928735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02091235,"about_ca_topic_score_gemma":0.01927716,"domain_scores_codex":[0.9828173,0.008351006,0.001974374,0.002018651,0.003830643,0.001007909],"domain_scores_gemma":[0.9750077,0.009053092,0.001883682,0.005520602,0.007083052,0.001451807],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001835212,0.0008374178,0.010367,0.002488906,0.0002191099,0.0005391334,0.005819114,0.01926313,0.007134403,0.7339376,0.01414834,0.2050623],"study_design_scores_gemma":[0.0003062256,0.0007156114,0.004898866,0.007044256,0.0006011355,0.001216835,0.005396925,0.1913946,0.02331372,0.2492159,0.5154876,0.0004084577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005506875,0.0006818028,0.9785783,0.002726083,0.00009024047,0.002635342,0.000494547,0.002655804,0.006631053],"genre_scores_gemma":[0.02313821,0.0005953235,0.972424,0.0002491763,0.0000280356,0.001272005,0.00112603,0.0003060313,0.0008611226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9941643,"threshold_uncertainty_score":0.2669595,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2098019639","doi":"10.5210/ojphi.v2i3.3225","title":"Agent Based Modeling of “Crowdinforming” as a Means of Load Balancing at Emergency Departments","year":2010,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Manitoba Hydro","keywords":"Computer science; Load balancing (electrical power); Emergency department; Medical emergency; Data science; Medicine; Operations research; Engineering; Nursing; Geography","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.06448830983901421,"gpt":0.3770792558293338,"spread":0.3125909459903196,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006125952,0.0006402666,0.0006204915,0.000522311,0.000740608,0.002026696,0.001621163,0.001549726,0.003360278],"category_scores_gemma":[0.001690394,0.0005268764,0.0008162289,0.0005698365,0.0007676804,0.001403738,0.001320985,0.001070421,0.0004165652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320561,"about_ca_system_score_gemma":0.001946977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02221685,"about_ca_topic_score_gemma":0.01376934,"domain_scores_codex":[0.999581,0.0001988412,0.00002053064,0.00007109171,0.00007315838,0.00005538032],"domain_scores_gemma":[0.999335,0.0003248611,0.0001077136,0.00004807388,0.00009556822,0.00008880354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001239049,0.00001629823,0.0004652858,0.00001337656,0.00001225813,0.00004006159,0.00005685479,0.9829739,0.000245998,0.01421864,0.0003127536,0.001632018],"study_design_scores_gemma":[0.000006699867,0.00001158728,0.0001245885,0.000005097447,0.000006006931,0.000009504566,0.00002906554,0.9936363,0.00006824382,0.004565021,0.001531722,0.000006329921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08072865,0.0003610825,0.8794186,0.002018945,0.0001920116,0.0002142193,0.0006886683,0.0004577204,0.03592006],"genre_scores_gemma":[0.8750165,0.0006824991,0.1058181,0.0002444125,0.0001158837,0.0003892915,0.000355247,0.00008783062,0.01729023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02221685,"threshold_uncertainty_score":0.04417509,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2071642349","doi":"10.5210/ojphi.v3i2.3520","title":"Data Driven Load Balancing at Emergency Departments using ‘Crowdinforming’","year":2011,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Winnipeg Regional Health Authority; University of Manitoba","funders":"","keywords":"Emergency department; Overcrowding; Medical emergency; Computer science; Medicine; Control (management); Process (computing); Scrutiny; Patient safety; Operations management; Operations research; Health care; Artificial intelligence; Engineering; Nursing","authors":[{"name":"Marcia Friesen","is_ca":true},{"name":"Trevor Strome","is_ca":true},{"name":"Shamir Mukhi","is_ca":false},{"name":"Robert D McLeod","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2558910855263193,"gpt":0.4099389899970424,"spread":0.1540479044707231,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002087893,0.000954784,0.000768376,0.0007895924,0.0007603488,0.001439624,0.001270324,0.0008046466,0.001486935],"category_scores_gemma":[0.004546724,0.0004476208,0.0007663523,0.0005644673,0.0008968124,0.001029608,0.001391106,0.0007980501,0.0001852715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001966729,"about_ca_system_score_gemma":0.003010349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03396308,"about_ca_topic_score_gemma":0.01594577,"domain_scores_codex":[0.9991885,0.0003187872,0.00004829828,0.0001706973,0.0001592954,0.0001145608],"domain_scores_gemma":[0.99704,0.00172099,0.0003673845,0.0001735073,0.0004648893,0.0002333198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00007154205,0.0000587494,0.001811899,0.00002011037,0.00001856743,0.0000424967,0.00007140926,0.9924516,0.0005276651,0.000865944,0.0001438579,0.003916173],"study_design_scores_gemma":[0.00001447237,0.0000490527,0.0003705772,0.000005750957,0.000007187421,0.000008491319,0.000036127,0.9980276,0.0003890285,0.0007967102,0.0002872583,0.000007662711],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4632451,0.0002381033,0.5219558,0.0008996024,0.0001192105,0.0006160017,0.0004839045,0.001478274,0.01096397],"genre_scores_gemma":[0.9705918,0.00004645257,0.02838243,0.00005747928,0.00001449065,0.00009859684,0.0001625559,0.00002251631,0.0006236137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03396308,"threshold_uncertainty_score":0.06753081,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399515058","doi":"10.2196/57618","title":"Predictive Data Analytics in Telecare and Telehealth: Systematic Scoping Review","year":2024,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Digital Health and Care Innovation Centre","keywords":"Telecare; Telehealth; Data science; Analytics; Predictive analytics; Computer science; Medicine; Telemedicine; Health care","authors":[{"name":"E. Faye Anderson","is_ca":false},{"name":"Marilyn Lennon","is_ca":false},{"name":"Kimberley Kavanagh","is_ca":false},{"name":"Natalie Weir","is_ca":false},{"name":"David Kernaghan","is_ca":false},{"name":"Marc Roper","is_ca":false},{"name":"Emma Dunlop","is_ca":false},{"name":"Linda Lapp","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2194224358034601,"gpt":0.4737756593887787,"spread":0.2543532235853185,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0380811,0.002178075,0.00731675,0.02073709,0.001210397,0.006002574,0.00327396,0.003137658,0.004880801],"category_scores_gemma":[0.188906,0.001641463,0.01071575,0.0214433,0.001809552,0.005460828,0.003551157,0.002457615,0.000620779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006123196,"about_ca_system_score_gemma":0.02780443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008991668,"about_ca_topic_score_gemma":0.01653501,"domain_scores_codex":[0.966506,0.0148259,0.01040896,0.001823052,0.005846365,0.0005897846],"domain_scores_gemma":[0.7816341,0.1832799,0.01995011,0.003463231,0.01110863,0.0005641294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001161726,0.00002769084,0.0006721806,0.9146214,0.004904047,0.00007845329,0.0004238115,0.0003802974,0.00007385266,0.0007909614,0.00200016,0.07591103],"study_design_scores_gemma":[0.00005550498,0.00008276862,0.0009092072,0.9686366,0.01389895,0.0001401759,0.0002813826,0.0001956337,0.000108316,0.0006753832,0.01498776,0.00002834352],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005528067,0.996035,0.001007125,0.0005300435,0.0001626732,0.0008075268,0.0004493826,0.00002246564,0.0004329699],"genre_scores_gemma":[0.01027594,0.9839738,0.002547369,0.0005351703,0.0001298335,0.002031405,0.0003930036,0.00001224936,0.0001012673],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0380811,"threshold_uncertainty_score":0.2013945,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2947001125","doi":"10.5210/ojphi.v11i1.9892","title":"Surveillance for Lyme disease in Canada: 2009-2015","year":2019,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Vector-borne infectious diseases","field":"Immunology and Microbiology","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Disease surveillance; Lyme disease; Notifiable disease; Medicine; Demography; Disease; Incidence (geometry); Public health surveillance; Public health; Geography; Environmental health; Pathology; Immunology","authors":[{"name":"Jules K. Koffi","is_ca":true},{"name":"Salima Gasmi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0250144232955582,"gpt":0.2909744319108571,"spread":0.2659600086152989,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007770438,0.0006057638,0.0004056604,0.003795162,0.002153788,0.001697378,0.001592333,0.0002830707,0.002986061],"category_scores_gemma":[0.002986642,0.0002998824,0.0005885942,0.006377966,0.0004540828,0.0005109629,0.001176943,0.0006699216,0.0004614037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05095861,"about_ca_system_score_gemma":0.0877336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964478,"about_ca_topic_score_gemma":0.9978423,"domain_scores_codex":[0.9980788,0.00006371082,0.0001344843,0.0002041528,0.0009528853,0.0005659215],"domain_scores_gemma":[0.994989,0.0000622673,0.0004960031,0.00005078543,0.003668086,0.0007338942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002003784,0.00007364119,0.8802073,0.0006667393,0.0001684113,0.0002076501,0.0008094118,0.0007309425,0.0005981368,0.0004701335,0.06035963,0.05550767],"study_design_scores_gemma":[0.00001764348,0.00003736193,0.9729462,0.0003152429,0.000043922,0.0001360542,0.0007672936,0.0006462902,0.0002456644,0.00003516116,0.02478929,0.00001992134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5070744,0.02022001,0.002394574,0.004312017,0.0004401527,0.00133074,0.4237688,0.0007083545,0.03975082],"genre_scores_gemma":[0.8526121,0.0124916,0.003786088,0.001464722,0.0001208597,0.000337311,0.1196006,0.00007580533,0.009510776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05095861,"threshold_uncertainty_score":0.3697323,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2610262698","doi":"10.5210/ojphi.v9i1.7676","title":"Burden and deaths associated with vaccine preventable diseases in Canada, 2010-2014","year":2017,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Medicine; Measles; Vaccine-preventable diseases; Rubella; Population; Incidence (geometry); Diphtheria; Pediatrics; Poliomyelitis; Mortality rate; Vaccination; Disease surveillance; Disease; Environmental health; Immunology; Internal medicine","authors":[{"name":"Laurence Caron-Poulin","is_ca":true},{"name":"Jenny Rotondo","is_ca":true},{"name":"J Cutler","is_ca":true},{"name":"Shalini Desai","is_ca":true},{"name":"Susan G Squires","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04053775840052277,"gpt":0.3246991654276856,"spread":0.2841614070271629,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005019938,0.0008565619,0.0005064083,0.003643277,0.002552077,0.00152414,0.001357318,0.0004645515,0.004432208],"category_scores_gemma":[0.002170909,0.0003903193,0.001395986,0.006086207,0.0004782022,0.0006103861,0.001409433,0.001281381,0.0004272346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05526929,"about_ca_system_score_gemma":0.0919626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963115,"about_ca_topic_score_gemma":0.9974641,"domain_scores_codex":[0.9986738,0.00004334572,0.00008533087,0.0001252613,0.0006057386,0.0004664947],"domain_scores_gemma":[0.9980233,0.00003437379,0.0002902717,0.00002413772,0.001246063,0.0003819572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003265754,0.0000750555,0.878454,0.001048018,0.0004660361,0.0002766822,0.0005982454,0.001029065,0.0003344252,0.001157834,0.06459499,0.05163901],"study_design_scores_gemma":[0.00004220488,0.00004444191,0.9715917,0.0005033212,0.0002362816,0.0002868363,0.0009495572,0.001112091,0.0002260718,0.0001462614,0.02482815,0.00003326153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5323051,0.04579546,0.0009339233,0.009455929,0.0006513852,0.0003469504,0.380453,0.0004124881,0.02964588],"genre_scores_gemma":[0.8348072,0.04336378,0.001775866,0.001640046,0.0002480536,0.0001644117,0.1036847,0.00006813828,0.01424786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05526929,"threshold_uncertainty_score":0.4010087,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2887878056","doi":"10.5210/ojphi.v10i1.9125","title":"Use of Rapid Online Data Collection during a Large Community Enteric Outbreak in Toronto, Canada","year":2018,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Outbreak; Public health; Phone; Social media; Family medicine; Descriptive statistics; Nursing; World Wide Web","authors":[{"name":"Anne Arthur","is_ca":true},{"name":"Effie Gournis","is_ca":true},{"name":"Kaitlin Bradley","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4118945294261644,"gpt":0.4870519198379856,"spread":0.07515739041182123,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006492233,0.0009676605,0.0005456928,0.003909884,0.006335541,0.003152462,0.00230497,0.0005503149,0.004524588],"category_scores_gemma":[0.01708457,0.000712883,0.0005234715,0.005393851,0.001125117,0.001191715,0.003997137,0.0008886285,0.0009080046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06016664,"about_ca_system_score_gemma":0.0983748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887499,"about_ca_topic_score_gemma":0.9931844,"domain_scores_codex":[0.9910813,0.002013915,0.000752095,0.0008987177,0.003446744,0.001807177],"domain_scores_gemma":[0.9676302,0.004435583,0.002240103,0.001392218,0.01982285,0.004479015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001041519,0.0007499291,0.4872772,0.002511948,0.0002752862,0.003748642,0.08522345,0.00311511,0.01058068,0.001284973,0.09251732,0.311674],"study_design_scores_gemma":[0.0001189986,0.0005295353,0.8318984,0.00140634,0.0001175259,0.0002802257,0.0602968,0.005070118,0.00304633,0.0002244275,0.09671481,0.0002965808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8249816,0.003633727,0.01584197,0.01002401,0.0006799976,0.01500428,0.05003161,0.003011561,0.07679131],"genre_scores_gemma":[0.926571,0.003256825,0.03384553,0.00275588,0.0001508462,0.003394185,0.01537174,0.0003063701,0.01434766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06016664,"threshold_uncertainty_score":0.4365416,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2161590778","doi":"10.5210/ojphi.v4i2.4186","title":"A Web-Based System for Mapping Laboratory Networks: Analysis of GLaDMap application","year":2012,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan; Public Health Agency of Canada","funders":"","keywords":"Computer science; Web application; World Wide Web; Data science; Data mining; Information retrieval","authors":[{"name":"Shamir Mukhi","is_ca":true},{"name":"Kashmeera Meghnath","is_ca":true},{"name":"Theodore I. Kuschak","is_ca":true},{"name":"May Chu","is_ca":false},{"name":"Lai King Ng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03921884300566251,"gpt":0.3381774139726388,"spread":0.2989585709669763,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002945871,0.0007630003,0.0004759684,0.004247407,0.0005570626,0.001633989,0.00089468,0.0005185085,0.007665305],"category_scores_gemma":[0.008741982,0.0002642575,0.0003976065,0.0030412,0.0002490014,0.001411145,0.0009784536,0.0006058017,0.003324423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007482626,"about_ca_system_score_gemma":0.0008015174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004723338,"about_ca_topic_score_gemma":0.00268437,"domain_scores_codex":[0.9980701,0.0005389415,0.0001729029,0.0002948951,0.0007923295,0.000130974],"domain_scores_gemma":[0.9928963,0.004260285,0.0003358259,0.0008136248,0.001452102,0.0002419954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003237214,0.001672201,0.1298673,0.001839885,0.0003306839,0.003010467,0.005394077,0.02358801,0.04326503,0.007951501,0.1336879,0.6461558],"study_design_scores_gemma":[0.0004667329,0.0006877016,0.1830856,0.0003009023,0.0002145598,0.001857149,0.002092074,0.6007226,0.06917072,0.006092583,0.1349375,0.0003718435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.3495221,0.0004308709,0.22481,0.0007091016,0.0001538176,0.002227223,0.04002759,0.3612012,0.02091817],"genre_scores_gemma":[0.7068525,0.0003368002,0.2195827,0.0003651096,0.00005692233,0.001829698,0.04948638,0.01132168,0.01016817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007665305,"threshold_uncertainty_score":0.02564299,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137205500","doi":"10.5210/ojphi.v6i2.5376","title":"Calls to the British Columbia Drug and Poison Information Centre: A summary of differences by health service areas","year":2014,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Poisoning and overdose treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of British Columbia; BC Centre for Disease Control","funders":"","keywords":"Medicine; Population; Rural area; Occupational safety and health; Public health; Environmental health; Health care; Geography; Medical emergency; Suicide prevention; Poison control; Demography; Nursing; Political science","authors":[{"name":"Kathleen McLean","is_ca":true},{"name":"Sarah B. Henderson","is_ca":true},{"name":"Debra Kent","is_ca":true},{"name":"Tom Kosatsky","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0209951706562863,"gpt":0.2841990975537613,"spread":0.263203926897475,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001471632,0.0003700455,0.0004546285,0.004468706,0.001748964,0.001692632,0.001326641,0.0004353211,0.005515475],"category_scores_gemma":[0.006727579,0.0003497712,0.0006021544,0.009635208,0.0004497341,0.0007747661,0.001565325,0.0007796171,0.0007349419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01066083,"about_ca_system_score_gemma":0.009510836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8579857,"about_ca_topic_score_gemma":0.9098518,"domain_scores_codex":[0.9970993,0.0003557364,0.0003520677,0.0002812872,0.001062214,0.0008495305],"domain_scores_gemma":[0.9937874,0.0007861249,0.001403362,0.0001558953,0.003128392,0.0007387549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001960145,0.00004485087,0.9316878,0.0003892234,0.00009574483,0.0002904154,0.002936189,0.0002979968,0.0003865913,0.0002198749,0.01905129,0.04440391],"study_design_scores_gemma":[0.000001906219,0.00001020459,0.9932529,0.0000992022,0.00001434674,0.00007817647,0.002985618,0.0001192226,0.00003893534,0.0000189462,0.003372126,0.000008339053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9167181,0.007474657,0.0006477159,0.00388176,0.0001326153,0.0003351562,0.04239977,0.0001835442,0.02822659],"genre_scores_gemma":[0.9792261,0.004217704,0.0006819732,0.0003740963,0.00003138294,0.0001567631,0.01128629,0.00007482566,0.003950768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1420143,"threshold_uncertainty_score":0.2857012,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2947737216","doi":"10.5210/ojphi.v11i1.9795","title":"Improving Public Health Surveillance methods via Smart Home technologies","year":2019,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Computer science; Data science; Public health surveillance; Public health; Medicine; Data mining; Nursing","authors":[{"name":"Kirti Sundar Sahu","is_ca":true},{"name":"Arlene Oteomo","is_ca":true},{"name":"Plinio Pelegrini Morita","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1128662379308611,"gpt":0.4724160353238973,"spread":0.3595497973930362,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00638919,0.00084768,0.0006904649,0.002390591,0.0004445492,0.002284437,0.00147293,0.0007103694,0.003034587],"category_scores_gemma":[0.01776551,0.0004853739,0.000682038,0.002131493,0.0003226324,0.002709115,0.001972034,0.0008436884,0.001169972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007416296,"about_ca_system_score_gemma":0.001345011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006954816,"about_ca_topic_score_gemma":0.009159226,"domain_scores_codex":[0.9936147,0.003282213,0.0004441889,0.0009609731,0.001466222,0.000231691],"domain_scores_gemma":[0.9881761,0.005877319,0.001414439,0.001808621,0.002489722,0.0002338552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00023368,0.0006116187,0.13012,0.001391761,0.0004337979,0.0001747674,0.00159805,0.01169035,0.0104205,0.007583366,0.02238396,0.8133582],"study_design_scores_gemma":[0.0005017835,0.001924137,0.2847479,0.002534046,0.001005219,0.001252565,0.007209806,0.401884,0.03228991,0.0354463,0.2308237,0.0003805906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.113168,0.00309998,0.8406618,0.005445716,0.0007440895,0.001729558,0.007278287,0.005870796,0.02200173],"genre_scores_gemma":[0.3815133,0.002281714,0.605079,0.001251166,0.0004094182,0.001808841,0.0050481,0.0001667437,0.002441725],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006954816,"threshold_uncertainty_score":0.03378963,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2610831850","doi":"10.5210/ojphi.v7i1.5951","title":"Community Perceptions on Integrating Animal Vaccination and Health Education by Veterinary and Public Health Workers in the Prevention of Brucellosis among Pastoral Communities of South Western Uganda","year":2015,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Brucella: diagnosis, epidemiology, treatment","field":"Veterinary","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"International Development Research Centre","keywords":"Brucellosis; Vaccination; Public health; Government (linguistics); Medicine; Veterinary public health; Veterinary medicine; One Health; Animal health; Environmental health; Public relations; Nursing; Political science; Immunology","authors":[{"name":"Catherine Kansiime","is_ca":false},{"name":"Lynn Atuyambe","is_ca":false},{"name":"Victor Guma","is_ca":false},{"name":"Anthony Mugisha","is_ca":false},{"name":"Samuel Mugisha","is_ca":false},{"name":"Benon Asiimwe","is_ca":false},{"name":"Innocent B. Rwego","is_ca":false},{"name":"Elizeus Rutebemberwa","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3477698133909061,"gpt":0.4561552428466149,"spread":0.1083854294557087,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007419188,0.0002711373,0.000311556,0.0007851809,0.004179508,0.002650605,0.0005403095,0.001090343,0.002424451],"category_scores_gemma":[0.01068599,0.0005316586,0.000266439,0.0006620387,0.002590305,0.001346412,0.004295052,0.001502394,0.0001447737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001875131,"about_ca_system_score_gemma":0.004570149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01886005,"about_ca_topic_score_gemma":0.02823577,"domain_scores_codex":[0.9946553,0.003173196,0.0002721608,0.0001560516,0.0005776918,0.001165757],"domain_scores_gemma":[0.992579,0.002277097,0.001489167,0.0001275354,0.0008931489,0.0026341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001794404,0.0006071306,0.2661797,0.0004387861,0.00004918393,0.002085802,0.6988248,0.000188215,0.002072479,0.0007274021,0.0006660144,0.02798111],"study_design_scores_gemma":[0.00002710808,0.0005915149,0.1606587,0.0004742371,0.00003960262,0.0005208628,0.8327674,0.0002313033,0.0002547929,0.0002652603,0.004134135,0.00003510727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976074,0.0001444488,0.00006841254,0.0008733445,0.000006770814,0.00002372274,0.000005385206,0.000001378499,0.001269142],"genre_scores_gemma":[0.9992618,0.0002122576,0.000131458,0.0001408199,0.000004428181,0.00001911689,0.000004471726,9.013785e-7,0.0002248002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01886005,"threshold_uncertainty_score":0.03923684,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2610195287","doi":"10.5210/ojphi.v9i1.7726","title":"The Canadian Chronic Disease Surveillance System: A Distributed Surveillance Model","year":2017,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Ministry of Health; University of Manitoba; George & Fay Yee Centre for Healthcare Innovation","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Medicine; Population; Record linkage; Public health; Disease surveillance; Public health surveillance; Family medicine; Environmental health; Pathology","authors":[{"name":"Lisa M. Lix","is_ca":true},{"name":"Kim Reimer","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.114451079606581,"gpt":0.4324899440693295,"spread":0.3180388644627485,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01704012,0.001617326,0.001151342,0.003925867,0.002488466,0.005586197,0.005274769,0.001487082,0.003973649],"category_scores_gemma":[0.02513785,0.000788252,0.001123282,0.007370823,0.001942788,0.002848177,0.002709663,0.001870701,0.0007063067],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03806268,"about_ca_system_score_gemma":0.05362369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9070192,"about_ca_topic_score_gemma":0.8668169,"domain_scores_codex":[0.9888713,0.004508452,0.0005065586,0.002307526,0.002677006,0.001129196],"domain_scores_gemma":[0.9867181,0.00317038,0.0009758861,0.0008493768,0.007481769,0.0008044319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000461205,0.0001956838,0.07189985,0.0009053007,0.0005282572,0.0004714661,0.001241354,0.4394328,0.0003933552,0.2243488,0.1085918,0.1515302],"study_design_scores_gemma":[0.0003734386,0.0001370346,0.01887649,0.0003564389,0.0002756146,0.0001935608,0.0007278047,0.8436691,0.0002250522,0.05370413,0.08130334,0.0001579344],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08306051,0.008034199,0.6758982,0.04371206,0.001412896,0.008334551,0.07587212,0.003686486,0.09998906],"genre_scores_gemma":[0.6603562,0.006836919,0.2787124,0.002035613,0.0004916037,0.00338679,0.02732082,0.0002051096,0.02065456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9619373,"threshold_uncertainty_score":0.2761654,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2581468326","doi":"10.5210/ojphi.v8i3.6937","title":"KIWI: A technology for public health event monitoring and early warning detection","year":2016,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Canadian Food Inspection Agency; Public Health Agency of Canada","funders":"Canadian Food Inspection Agency","keywords":"Warning system; Public health surveillance; Public health; Event monitoring; Event (particle physics); Disease surveillance; Computer science; Data collection; Data science; Medicine; Environmental health; Telecommunications; Wireless sensor network; Pathology","authors":[{"name":"Shamir Mukhi","is_ca":true},{"name":"Ellie Bostwick Andres","is_ca":false},{"name":"Bryan Demianyk","is_ca":false},{"name":"Ben Gammon","is_ca":false},{"name":"Harold Kloeze","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07662715370780948,"gpt":0.3710911508023295,"spread":0.29446399709452,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003195121,0.001388704,0.0006168625,0.005398071,0.001256566,0.002896826,0.00234493,0.001032644,0.005354728],"category_scores_gemma":[0.00856154,0.0006206257,0.0005133406,0.003095027,0.0008522609,0.003871656,0.002824318,0.001147203,0.002408992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001983601,"about_ca_system_score_gemma":0.00507017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1183589,"about_ca_topic_score_gemma":0.1003569,"domain_scores_codex":[0.9979256,0.0002898674,0.0001346744,0.0003051509,0.001161925,0.0001827414],"domain_scores_gemma":[0.9947694,0.001487273,0.0004848668,0.0007908134,0.001925093,0.0005424275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001059876,0.0005238688,0.01865184,0.001332902,0.0002566719,0.0009178187,0.003138675,0.004840637,0.03523196,0.01134765,0.09683196,0.8258661],"study_design_scores_gemma":[0.0005254365,0.0009636903,0.07676222,0.001307319,0.0005605433,0.002230929,0.003400096,0.2134541,0.06693823,0.02447479,0.6083809,0.001001832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04441539,0.001988048,0.7302027,0.003471442,0.000442923,0.003949347,0.01188725,0.1587292,0.04491364],"genre_scores_gemma":[0.2465006,0.001901165,0.7145807,0.001271856,0.0002136157,0.001416065,0.0138885,0.001712919,0.01851459],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1183589,"threshold_uncertainty_score":0.2353399,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2807984017","doi":"10.5210/ojphi.v10i1.8908","title":"Evaluation of approaches that adjust for biases in participatory surveillance systems","year":2018,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Disease surveillance; Psychological intervention; Medicine; Population; Citizen journalism; Health care; Missing data; Disease; Actuarial science; Environmental health; Computer science; Business; Nursing; Political science","authors":[{"name":"Kristin Baltrusaitis","is_ca":false},{"name":"Kathleen Noddin","is_ca":false},{"name":"Colleen Nguyen","is_ca":false},{"name":"Adam W. Crawley","is_ca":false},{"name":"John S. Brownstein","is_ca":false},{"name":"Laura F. White","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.8272519061134832,"gpt":0.5398059871186393,"spread":0.287445918994844,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3464577,0.00364646,0.002128854,0.00369305,0.002451214,0.004347991,0.005159752,0.003841604,0.002865872],"category_scores_gemma":[0.5504849,0.001646622,0.005522868,0.003459721,0.00293853,0.007238662,0.009717874,0.00286356,0.0003678244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007123122,"about_ca_system_score_gemma":0.008456307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01106066,"about_ca_topic_score_gemma":0.005766974,"domain_scores_codex":[0.6038709,0.3405338,0.01458275,0.01344479,0.02502936,0.0025383],"domain_scores_gemma":[0.388223,0.4950448,0.0419331,0.0327202,0.0402278,0.001851056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006963249,0.001402333,0.1274957,0.008211813,0.01593458,0.00023907,0.006108469,0.335355,0.002764374,0.03194146,0.003941304,0.4596427],"study_design_scores_gemma":[0.003752587,0.009767034,0.04560905,0.003566789,0.005074471,0.0003632986,0.002349408,0.8427829,0.008875472,0.05909231,0.01810999,0.0006568116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1691423,0.006937823,0.7939498,0.00322612,0.0009239752,0.01532376,0.002148944,0.001472567,0.006874745],"genre_scores_gemma":[0.5203013,0.0007315808,0.4686756,0.0006308654,0.0001592062,0.008002275,0.0009421532,0.000107659,0.0004494078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3464577,"threshold_uncertainty_score":0.805934,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2128245173","doi":"10.5210/ojphi.v7i1.5734","title":"CIPARS: A One-Health Approach to Antimicrobial Resistance Surveillance","year":2015,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Public health; Public health surveillance; Antibiotic resistance; Agency (philosophy); Stakeholder; Antimicrobial; Psychological intervention; Action (physics); Medicine; Health surveillance; Environmental health; Public relations; Political science; Nursing; Biology; Microbiology; Sociology","authors":[{"name":"Anne Deckert","is_ca":true},{"name":"Agnes Agunos","is_ca":true},{"name":"Brent P. Avery","is_ca":true},{"name":"Carolee A. Carson","is_ca":true},{"name":"Danielle Daignault","is_ca":true},{"name":"Rita Finley","is_ca":true},{"name":"Sheryl Gow","is_ca":true},{"name":"David Léger","is_ca":true},{"name":"Michael R. Mulvey","is_ca":true},{"name":"E. Jane Parmley","is_ca":true},{"name":"Richard J. Reid‐Smith","is_ca":true},{"name":"Rebecca Irwin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1047820127412704,"gpt":0.3261856599981003,"spread":0.22140364725683,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02795965,0.001934439,0.001517645,0.007493185,0.00636077,0.01190959,0.006485519,0.003693446,0.010017],"category_scores_gemma":[0.02541914,0.001122675,0.001254534,0.005549078,0.007214329,0.004800896,0.01421637,0.005935187,0.001656683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03837096,"about_ca_system_score_gemma":0.1414683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4555852,"about_ca_topic_score_gemma":0.5422873,"domain_scores_codex":[0.9648944,0.01915576,0.001094175,0.003386377,0.008564234,0.002905006],"domain_scores_gemma":[0.9811229,0.005242177,0.001207008,0.001648397,0.007143738,0.003635753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003757756,0.001053814,0.02953162,0.002945959,0.0004935222,0.00145577,0.02345494,0.00656703,0.001695794,0.3966684,0.07613538,0.4596219],"study_design_scores_gemma":[0.0002463117,0.001148771,0.03081863,0.00389152,0.000435411,0.001169073,0.03616216,0.02257293,0.001704354,0.2694317,0.6320696,0.0003494784],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02103638,0.005344658,0.5558621,0.1278523,0.001653509,0.01239882,0.004233751,0.003371913,0.2682466],"genre_scores_gemma":[0.3074896,0.006228885,0.6278907,0.01988727,0.000661963,0.004281601,0.001709286,0.0003632883,0.03148739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4555852,"threshold_uncertainty_score":0.9058667,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2149105446","doi":"10.5210/ojphi.v7i2.6018","title":"An innovative web based system for reporting rare diseases in paediatrics","year":2015,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Canadian Paediatric Society; Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Informatics; Medicine; Public health; Health informatics; Public health surveillance; Quality (philosophy); Data quality; Medical emergency; Environmental health; Business; Nursing; Marketing; Engineering","authors":[{"name":"Shamir Mukhi","is_ca":true},{"name":"Melanie Laffin Thibodeau","is_ca":true},{"name":"Barbara Szijarto","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06559244654508509,"gpt":0.351580902524697,"spread":0.2859884559796119,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008915499,0.0007409789,0.0007216267,0.004782734,0.0005292338,0.001952774,0.001576532,0.001151614,0.01102072],"category_scores_gemma":[0.02024294,0.0004050493,0.0005767769,0.003198846,0.0002601951,0.002539506,0.001736065,0.0008304142,0.004902897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007111778,"about_ca_system_score_gemma":0.002035849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002931254,"about_ca_topic_score_gemma":0.001715334,"domain_scores_codex":[0.9926634,0.003001627,0.001499128,0.001016251,0.001601544,0.0002180597],"domain_scores_gemma":[0.9730056,0.01319465,0.002464706,0.003199009,0.007009926,0.001126139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002242163,0.001288434,0.07386439,0.001366927,0.000240209,0.00136583,0.001429205,0.001912997,0.01552475,0.001472582,0.08943882,0.8098536],"study_design_scores_gemma":[0.001739678,0.005236372,0.3520168,0.001371793,0.001024126,0.009300652,0.002164633,0.08977972,0.06550553,0.005280619,0.4654929,0.001087183],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3072634,0.002261943,0.3809842,0.004245014,0.001418971,0.01446342,0.08053663,0.1649698,0.04385666],"genre_scores_gemma":[0.3612302,0.001631071,0.5479463,0.002152057,0.001325925,0.007970342,0.05637715,0.001641594,0.01972547],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01102072,"threshold_uncertainty_score":0.04715025,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2947888954","doi":"10.5210/ojphi.v11i1.9781","title":"A Tool for Promoting Responsible Antibiotic Prescribing across Settings and Sectors","year":2019,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto; Public Health Ontario; University of Guelph","funders":"Vetenskapsrådet","keywords":"Antimicrobial stewardship; Psychological intervention; Medicine; Stewardship (theology); Antibiotic resistance; Audit; Antibiotic Stewardship; Best practice; Nursing; Intensive care medicine; Business; Antibiotics; Political science; Accounting","authors":[{"name":"Anette Hulth","is_ca":false},{"name":"Sonja Löfmark","is_ca":false},{"name":"Jeff Andre","is_ca":false},{"name":"Rachel Chorney","is_ca":false},{"name":"Emily Cohn","is_ca":false},{"name":"Moriah Ellen","is_ca":false},{"name":"Nadav Davidovitch","is_ca":false},{"name":"Jacob Moran‐Gilad","is_ca":false},{"name":"Amy L. Greer","is_ca":true},{"name":"David A. Fishman","is_ca":true},{"name":"John S. Brownstein","is_ca":false},{"name":"Derek R. MacFadden","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02965399173683374,"gpt":0.3154426039221199,"spread":0.2857886121852862,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04967331,0.001854977,0.001202559,0.006573248,0.001918562,0.005181843,0.002733273,0.002306492,0.01594295],"category_scores_gemma":[0.1122364,0.0009760043,0.001773976,0.003356028,0.001136173,0.009342597,0.01020025,0.002510109,0.005361348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002764238,"about_ca_system_score_gemma":0.01146762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001831765,"about_ca_topic_score_gemma":0.003292313,"domain_scores_codex":[0.95081,0.02661196,0.005864639,0.003550251,0.01143951,0.001723611],"domain_scores_gemma":[0.8573979,0.07730751,0.02055547,0.01497236,0.01854859,0.01121821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007042606,0.003528934,0.01713779,0.002901663,0.0001728363,0.0001662049,0.00255443,0.0008288299,0.001934837,0.001573526,0.0391629,0.9293339],"study_design_scores_gemma":[0.008354991,0.01569131,0.1848546,0.02229303,0.002156544,0.001921572,0.009504099,0.02561995,0.02499676,0.03310956,0.6701168,0.001380633],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2519782,0.005703567,0.41688,0.06461126,0.004075679,0.05999617,0.01499425,0.08364217,0.09811863],"genre_scores_gemma":[0.1387439,0.001062611,0.8268901,0.005066897,0.0004883652,0.01577233,0.003485596,0.0006814767,0.007808763],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04967331,"threshold_uncertainty_score":0.2627007,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2171484504","doi":"10.5210/ojphi.v3i2.3607","title":"Improving Agent Based Models and Validation through Data Fusion","year":2011,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba; Orthopaedic Innovation Centre","funders":"","keywords":"Computer science; Data science; Bluetooth; Population; Granularity; Data mining; Agent-based model; Sensor fusion; Novelty; Robustness (evolution); Data aggregator; Machine learning; Artificial intelligence; Telecommunications; Wireless; Medicine; Wireless sensor network; Computer network","authors":[{"name":"Marek Laskowski","is_ca":true},{"name":"Bryan Demianyk","is_ca":true},{"name":"Marcia Friesen","is_ca":true},{"name":"R.D. McLeod","is_ca":true},{"name":"Shamir Mukhi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.7488719034865434,"gpt":0.4974264133979003,"spread":0.2514454900886431,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02941766,0.002012831,0.002657225,0.002237237,0.001536797,0.00413561,0.003052444,0.002974113,0.001585672],"category_scores_gemma":[0.08185017,0.001754234,0.002099871,0.001600503,0.001812585,0.004420613,0.00493197,0.004029445,0.0004605343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001883113,"about_ca_system_score_gemma":0.003647721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01695268,"about_ca_topic_score_gemma":0.00694636,"domain_scores_codex":[0.9881732,0.007738918,0.0009851474,0.001244429,0.001459398,0.000398914],"domain_scores_gemma":[0.9319696,0.05121223,0.003996251,0.006579781,0.005537261,0.000704888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008892093,0.00004139918,0.002680907,0.00004636975,0.0001096985,0.00004124498,0.00008633253,0.9817406,0.0002580261,0.003896935,0.0002004516,0.01080906],"study_design_scores_gemma":[0.000009030555,0.00001498802,0.0001164402,0.000009066936,0.000007478437,0.00000487127,0.00001082174,0.9950315,0.000182758,0.004499002,0.0001085971,0.000005573733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03877487,0.0002659418,0.9578856,0.0006990278,0.00007448602,0.0001492673,0.0002459121,0.0009025621,0.001002329],"genre_scores_gemma":[0.7484978,0.0001988305,0.2490958,0.0002721921,0.00005412792,0.0002782535,0.0008348327,0.0001255187,0.0006424874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02941766,"threshold_uncertainty_score":0.1555774,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2751370245","doi":"10.5210/ojphi.v9i2.7985","title":"Applications of information and communications technologies to public health: A scoping review using the MeSH term “public health informatics”","year":2017,"lang":"en","type":"review","venue":"Online Journal of Public Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Public health informatics; Health informatics; Public health; Interoperability; Informatics; Health Administration Informatics; Medicine; Health care; Data science; Computer science; Knowledge management; Health policy; World Wide Web; International health; Nursing; Political science","authors":[{"name":"Arjun Kumar Bhattarai","is_ca":true},{"name":"Aein Zarrin","is_ca":true},{"name":"Joon Lee","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3596818077589826,"gpt":0.5156273314611112,"spread":0.1559455237021286,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02170133,0.001772084,0.004684301,0.0366521,0.00175791,0.006077822,0.002277866,0.004319749,0.006023148],"category_scores_gemma":[0.07000021,0.001314697,0.004974052,0.0378561,0.001862747,0.005789107,0.003136693,0.00211866,0.0009165394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006469258,"about_ca_system_score_gemma":0.02302543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006086187,"about_ca_topic_score_gemma":0.01221356,"domain_scores_codex":[0.980948,0.006657423,0.007340989,0.0008255546,0.003682601,0.0005454449],"domain_scores_gemma":[0.8832226,0.09766534,0.009206887,0.001067232,0.008313431,0.0005244301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000114447,0.00005581965,0.0007679841,0.8433648,0.001311607,0.0002358672,0.0009367426,0.000219566,0.000334568,0.001618102,0.003667655,0.1473729],"study_design_scores_gemma":[0.00002933616,0.00008989614,0.001892835,0.9544123,0.004244939,0.0003090582,0.0007831965,0.0001208978,0.0002294401,0.0006030051,0.03726514,0.00001992662],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006609571,0.9964478,0.0003748057,0.0006840603,0.0002876566,0.000427244,0.0001556602,0.00000762032,0.0009541593],"genre_scores_gemma":[0.004312397,0.9929267,0.001061888,0.000453369,0.0001785702,0.0007531355,0.0001547588,0.000005245067,0.0001539169],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0366521,"threshold_uncertainty_score":0.114769,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2611761054","doi":"10.5210/ojphi.v9i1.7684","title":"Facilitating Public Health Action through Surveillance Dashboards","year":2017,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Alberta Health Services","funders":"","keywords":"Dashboard; Computer science; Stakeholder; Flexibility (engineering); Process (computing); Knowledge management; Public health surveillance; Public health; Process management; Data science; Medicine; Business; Public relations; Nursing","authors":[{"name":"Adrienne MacDonald","is_ca":true},{"name":"Hussain R. Usman","is_ca":true},{"name":"Deena Hinshaw","is_ca":true},{"name":"David P. Meurer","is_ca":true},{"name":"Christopher Sikora","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2531390825386769,"gpt":0.452632418154966,"spread":0.1994933356162891,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03993953,0.003505673,0.0008912151,0.004537736,0.001784351,0.01069047,0.004616173,0.001334634,0.01710178],"category_scores_gemma":[0.06363732,0.001157439,0.001270007,0.003670081,0.001645823,0.01112213,0.0100023,0.003631638,0.004201342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002340402,"about_ca_system_score_gemma":0.007714985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006442792,"about_ca_topic_score_gemma":0.006693637,"domain_scores_codex":[0.9691608,0.01580751,0.002715996,0.003440395,0.00696289,0.001912475],"domain_scores_gemma":[0.9261386,0.0324527,0.008654449,0.01490815,0.01336924,0.004476899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006767653,0.002627197,0.02831344,0.003048677,0.000360733,0.0005117641,0.01072282,0.03946624,0.0155493,0.02884287,0.1244489,0.7454314],"study_design_scores_gemma":[0.0005885003,0.001743823,0.0268906,0.00354183,0.0003537909,0.0002622927,0.01014952,0.1736801,0.02637046,0.04117654,0.7145611,0.0006814338],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06601848,0.0007995435,0.7255955,0.01023821,0.001112476,0.006951528,0.006154264,0.1133318,0.06979816],"genre_scores_gemma":[0.3086788,0.001525156,0.6542643,0.00146224,0.0004436366,0.005053458,0.01145361,0.003254397,0.0138644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03993953,"threshold_uncertainty_score":0.211223,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1903591517","doi":"10.5210/ojphi.v7i1.5849","title":"Integrated Disease Surveillance to Reduce Data Fragmentation – An Application to Malaria Control","year":2015,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"McGill University; Bill and Melinda Gates Foundation","keywords":"Malaria; Cornerstone; Data sharing; Computer science; Data integration; Fragmentation (computing); Disease surveillance; Data science; Infectious disease (medical specialty); Psychological intervention; Automatic identification and data capture; Disease control; Process management; Risk analysis (engineering); Medicine; Disease; Data mining; Environmental health; Geography; Business","authors":[{"name":"Kate Zinszer","is_ca":true},{"name":"Arash Shaban‐Nejad","is_ca":true},{"name":"Sonia Menon","is_ca":true},{"name":"Anya Okhmatovskaia","is_ca":true},{"name":"Lauren Carroll","is_ca":false},{"name":"Ian Painter","is_ca":false},{"name":"Neil F. Abernethy","is_ca":false},{"name":"David L. Buckeridge","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.118572227708889,"gpt":0.4103008139780077,"spread":0.2917285862691186,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01033513,0.0007685221,0.0008617004,0.004417294,0.001040589,0.002752285,0.002017442,0.0008533205,0.00236528],"category_scores_gemma":[0.02060614,0.0005629939,0.001062352,0.005329687,0.0009038235,0.00381382,0.005966553,0.00107756,0.000498149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009659906,"about_ca_system_score_gemma":0.002461218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008026662,"about_ca_topic_score_gemma":0.005679349,"domain_scores_codex":[0.9956722,0.00184604,0.0005222523,0.0007995324,0.0009809168,0.0001790397],"domain_scores_gemma":[0.9869642,0.005461087,0.001235739,0.003764756,0.001783979,0.000790239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005994929,0.0007460638,0.03697405,0.0007084017,0.0005340494,0.0004277913,0.003518281,0.02527263,0.01245353,0.0171179,0.01743024,0.8842176],"study_design_scores_gemma":[0.0005294225,0.0007577727,0.04547236,0.0006962044,0.0005696003,0.0009722491,0.00392073,0.666747,0.03544049,0.1038949,0.1407659,0.0002333237],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07782328,0.001590863,0.8792629,0.005988576,0.0002353063,0.001296984,0.003865398,0.02378456,0.006152089],"genre_scores_gemma":[0.2759077,0.000723877,0.7162673,0.0004668658,0.00008267679,0.000355493,0.004600709,0.0003556267,0.001239739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01033513,"threshold_uncertainty_score":0.05465806,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1901439604","doi":"10.5210/ojphi.v7i1.5719","title":"An Early Warning Influenza Model using Alberta Real- Time Syndromic Data (ARTSSN)","year":2015,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Warning system; Preparedness; Operationalization; Computer science; Pandemic; Data science; Coronavirus disease 2019 (COVID-19); Data mining; Medical emergency; Operations research; Medicine; Engineering; Pathology; Political science","authors":[{"name":"Paul Smetanin","is_ca":false},{"name":"Rita K. Biel","is_ca":false},{"name":"David Stiff","is_ca":false},{"name":"Douglas McNeil","is_ca":false},{"name":"Lawrence W. Svenson","is_ca":false},{"name":"Hussain R. Usman","is_ca":false},{"name":"David P. Meurer","is_ca":false},{"name":"Jane Huang","is_ca":false},{"name":"Vanessa Nardelli","is_ca":false},{"name":"Christopher Sikora","is_ca":false},{"name":"James Talbot","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4995131418640243,"gpt":0.5065594213943332,"spread":0.007046279530308897,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001091491,0.0006771216,0.0004111075,0.0006523476,0.0003902592,0.0008545711,0.001222157,0.0005849896,0.001951422],"category_scores_gemma":[0.002307263,0.0003323789,0.0003654215,0.0004749366,0.0003214868,0.0006053087,0.0004484472,0.0005913588,0.0001917682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0026838,"about_ca_system_score_gemma":0.004981156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3652596,"about_ca_topic_score_gemma":0.302591,"domain_scores_codex":[0.9997646,0.00005606245,0.00001115026,0.00005540344,0.00006652649,0.00004625825],"domain_scores_gemma":[0.9992701,0.0003337282,0.0000579119,0.00002176735,0.0002607496,0.0000557234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007648858,0.00002024231,0.002639595,0.00001271269,0.00001303456,0.00003055777,0.00001865436,0.9883852,0.0001976564,0.001560058,0.0009326779,0.006113099],"study_design_scores_gemma":[0.00001210258,0.000009550396,0.0003266466,0.000001823812,0.000006226865,0.000003453647,0.000006341189,0.998773,0.000108262,0.0005345661,0.0002138133,0.000004079252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.588159,0.0005294897,0.3821273,0.003768009,0.000263904,0.0002889572,0.006409252,0.003688531,0.01476563],"genre_scores_gemma":[0.9409451,0.0001516596,0.05165733,0.0001397798,0.00002993,0.0001056671,0.00180603,0.00003864821,0.005125753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6347404,"threshold_uncertainty_score":0.7262671,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2162040161","doi":"10.5210/ojphi.v5i1.4417","title":"A Framework for Detecting and Classifying Outbreaks of Gastrointestinal Disease","year":2013,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Outbreak; Computer science; Data mining; Machine learning; Medicine; Virology","authors":[{"name":"Kathryn Morrison","is_ca":true},{"name":"Katia Charland","is_ca":true},{"name":"Anya Okhmatovskaia","is_ca":true},{"name":"David L. Buckeridge","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09740388836000133,"gpt":0.3689342096824001,"spread":0.2715303213223987,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002920466,0.0008583619,0.001024929,0.002935005,0.0009286016,0.002244831,0.002358038,0.001706408,0.001284571],"category_scores_gemma":[0.007276963,0.0005808964,0.002008671,0.001333465,0.001365546,0.002266251,0.001549425,0.001387626,0.0004055777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001929976,"about_ca_system_score_gemma":0.002878851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0282533,"about_ca_topic_score_gemma":0.02319169,"domain_scores_codex":[0.9983498,0.000514341,0.0001617097,0.0004865424,0.0003228837,0.0001647018],"domain_scores_gemma":[0.9965792,0.00184394,0.0005329134,0.0003028138,0.0005258513,0.0002152432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001560724,0.0003547223,0.01229869,0.0001872754,0.0002964356,0.00036086,0.0003385876,0.7540278,0.002939695,0.1148286,0.003826388,0.1103849],"study_design_scores_gemma":[0.000009665777,0.00003750797,0.0005599214,0.0000131469,0.00001599391,0.00006917764,0.00002399495,0.9705503,0.0002613071,0.02747335,0.0009724875,0.00001315234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01206993,0.0002796947,0.9853499,0.0004739519,0.00003191977,0.00008443186,0.0003015429,0.0005876345,0.0008209517],"genre_scores_gemma":[0.332122,0.0003526061,0.6643724,0.0001997593,0.00009019578,0.0003160465,0.001038411,0.0000595611,0.001449104],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0282533,"threshold_uncertainty_score":0.05617768,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2525241236","doi":"10.5210/ojphi.v8i2.6720","title":"Development and Validation of a Standardized Tool for Prioritization of Information Sources","year":2016,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Public Health Agency of Canada; Canadian Food Inspection Agency","funders":"Canadian Food Inspection Agency","keywords":"Concordance; Cohen's kappa; Kappa; Prioritization; Reliability (semiconductor); Macro; Medicine; Data mining; Medical physics; Computer science; Statistics; Management science; Mathematics; Machine learning; Engineering","authors":[{"name":"Holy Akwar","is_ca":false},{"name":"Harold Kloeze","is_ca":true},{"name":"Shamir Mukhi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.184969914975495,"gpt":0.4024515011830838,"spread":0.2174815862075887,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1945673,0.001474081,0.001833589,0.01712791,0.001511179,0.004664299,0.002747792,0.001217989,0.002623823],"category_scores_gemma":[0.3005519,0.0007392319,0.00306129,0.008915634,0.001733375,0.004291414,0.00520471,0.001994587,0.0007901388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005719292,"about_ca_system_score_gemma":0.01905114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003965681,"about_ca_topic_score_gemma":0.00530309,"domain_scores_codex":[0.798683,0.1124494,0.03760071,0.005137484,0.04400408,0.002125276],"domain_scores_gemma":[0.6131598,0.225569,0.02674283,0.0259703,0.1049203,0.003637798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001042818,0.00249988,0.1516836,0.004441378,0.0008376425,0.0002703764,0.01014877,0.008019022,0.003951739,0.00777261,0.01537918,0.7939529],"study_design_scores_gemma":[0.003169114,0.01257711,0.5828533,0.01750757,0.002001851,0.001882278,0.02862341,0.1753741,0.03902409,0.03132297,0.104083,0.001581321],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3179636,0.001247482,0.6047999,0.002960371,0.0008291865,0.04558605,0.005988806,0.004039997,0.01658461],"genre_scores_gemma":[0.2544155,0.0003671865,0.7180489,0.0002988684,0.00008612346,0.02252014,0.003298804,0.0001990602,0.0007654943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1945673,"threshold_uncertainty_score":0.9932419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2804183057","doi":"10.5210/ojphi.v10i1.8858","title":"Epidemiology of Suspected Pesticide Poisoning in Livestock","year":2018,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"American Society for the Prevention of Cruelty to Animals","keywords":"Livestock; Medicine; Environmental health; Pesticide; Epidemiology; Poison control center; Animal welfare; Poison control; Injury prevention; Veterinary medicine; Medical emergency; Geography; Biology; Ecology; Forestry; Pathology","authors":[{"name":"Judy Akkina","is_ca":false},{"name":"Leah Estberg","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1116564800457585,"gpt":0.385003576530766,"spread":0.2733470964850075,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002905905,0.0001945427,0.0001404772,0.002122689,0.0004085022,0.0007599895,0.0004184545,0.0002375227,0.001471135],"category_scores_gemma":[0.001466704,0.0001461873,0.0001940229,0.00156151,0.0003414596,0.0003353962,0.0004443124,0.0001950812,0.0001660887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569952,"about_ca_system_score_gemma":0.001622722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1822527,"about_ca_topic_score_gemma":0.178692,"domain_scores_codex":[0.9993352,0.00009300864,0.00007206979,0.0001277104,0.0002497269,0.0001222933],"domain_scores_gemma":[0.998077,0.00009489156,0.001208443,0.00003136147,0.0004258528,0.0001624408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008547134,0.000006261935,0.9985493,0.00001251596,0.000009455844,0.00008673393,0.0000392193,0.0000364506,0.0001854452,0.000009005782,0.0001256071,0.0009315666],"study_design_scores_gemma":[7.829194e-7,0.0000283454,0.9985867,0.00001995787,0.000004714589,0.0005312291,0.0002697631,0.0001267173,0.00007390735,0.000006848019,0.0003491128,0.000001928208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924739,0.001278712,0.0003128238,0.0001701642,0.000009066819,0.00004634291,0.002959312,0.00002695926,0.002722562],"genre_scores_gemma":[0.9974624,0.0008140836,0.0002594484,0.00004853886,0.000008632131,0.00001209521,0.001169528,0.00000224052,0.0002229825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1822527,"threshold_uncertainty_score":0.3623838,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}