{"meta":{"query_hash":"f6d482e097b3","filters":{"venue":"ISRN Obesity"},"cohort_total":10,"direct_labels_cover":0,"predictions_cover":10,"exported":10,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/f6d482e097b3","api":"https://metacan.xera.ac/api/v1/cohort?venue=ISRN+Obesity"},"results":[{"id":"W1986054537","doi":"10.5402/2012/743978","title":"Not All Critically Ill Obese Patients Are the Same: The Influence of Prior Comorbidities","year":2012,"lang":"en","type":"article","venue":"ISRN Obesity","topic":"Frailty in Older Adults","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kingston General Hospital; Clinical Evaluation Research Unit; Queen's University; McMaster University; Niagara Health System","funders":"","keywords":"Comorbidity; Medicine; Body mass index; Odds ratio; Internal medicine; Obesity; Observational study; Prospective cohort study; Charlson comorbidity index; Critically ill; Algorithm","score_opus":0.024383835609596102,"score_gpt":0.2837554681378964,"score_spread":0.2593716325283003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986054537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974261,0.0013876489,0.00019441628,0.00036928352,0.00003274614,0.000005729961,0.00009938576,0.000002520249,0.00048220405],"genre_scores_gemma":[0.9991812,0.00042167588,0.00009371419,0.0001044391,0.00005682492,0.000002618682,0.000073142786,0.000001896738,0.00006441029],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999141,0.0002498282,0.00009747585,0.00016694397,0.00021393345,0.00013087559],"domain_scores_gemma":[0.9952506,0.0010786935,0.0025292467,0.0002651972,0.00016142787,0.0007147702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009871846,0.0002868634,0.00043749058,0.00052016584,0.00049790094,0.0010148895,0.00030822787,0.0003587036,0.0012011416],"category_scores_gemma":[0.005315953,0.00020871186,0.00046779934,0.00061745953,0.0005285847,0.00069655816,0.0005963976,0.00079347315,0.00013216518],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016745385,0.000012960115,0.99664164,0.000014423197,0.00009326309,0.00014405363,0.0000424219,0.000039975697,0.00019800669,0.00003469266,0.000063052576,0.0025481011],"study_design_scores_gemma":[0.000006028683,0.000085977365,0.99813443,0.000031224256,0.000076881835,0.000773727,0.00018797137,0.0002686751,0.00006900363,0.00012937826,0.00023087514,0.0000058811374],"about_ca_topic_score_codex":0.0018994352,"about_ca_topic_score_gemma":0.004572872,"teacher_disagreement_score":0.0018994352,"about_ca_system_score_codex":0.00021423779,"about_ca_system_score_gemma":0.00033698845,"threshold_uncertainty_score":0.0052208304},"labels":[],"label_agreement":null},{"id":"W1991687708","doi":"10.1155/2013/342802","title":"Plasma Levels of Acylation-Stimulating Protein Are Strongly Predicted by Waist/Hip Ratio and Correlate with Decreased LDL Size in Men","year":2013,"lang":"en","type":"article","venue":"ISRN Obesity","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Sultan Qaboos University","keywords":"Internal medicine; Waist; Endocrinology; Adipose tissue; Obesity; Medicine; Abdominal obesity; Body mass index; Waist–hip ratio; Dyslipidemia; Intra-Abdominal Fat; Insulin resistance; Lipid profile; Chemistry; Cholesterol; Visceral fat","score_opus":0.010228781331244836,"score_gpt":0.22672011959437866,"score_spread":0.21649133826313383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991687708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986473,0.00057708885,0.00016860361,0.00003698072,0.000010333907,0.000004536379,0.00008319996,0.000012044541,0.00046005938],"genre_scores_gemma":[0.9993362,0.00013800032,0.00013249104,0.00002136976,0.000014040182,0.00000404877,0.00007427454,0.0000023102705,0.00027718648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998448,0.00005069808,0.000020673693,0.000032065418,0.000029775141,0.000021985381],"domain_scores_gemma":[0.9993917,0.0001396027,0.00025204857,0.000058405672,0.000033441695,0.00012468305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041526274,0.0003504785,0.0003013811,0.00060502446,0.00027104892,0.00040897192,0.00013528464,0.00028805557,0.0015806705],"category_scores_gemma":[0.0012759379,0.0004608246,0.0002619507,0.0005076395,0.00033544254,0.00019977293,0.00025833305,0.00053106557,0.00035940052],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026620924,0.00002913523,0.9965405,0.000010780807,0.000070569586,0.000085633124,0.000055760225,0.00005806662,0.0010298303,0.000020060093,0.00006911245,0.0017642708],"study_design_scores_gemma":[0.0000058507107,0.00009065073,0.99914587,0.0000025334361,0.000033955985,0.00029097337,0.000040606443,0.00013314543,0.00012389683,0.000028971006,0.00010166585,0.0000019098609],"about_ca_topic_score_codex":0.0010331293,"about_ca_topic_score_gemma":0.0010390363,"teacher_disagreement_score":0.0015806705,"about_ca_system_score_codex":0.00007445207,"about_ca_system_score_gemma":0.000119379125,"threshold_uncertainty_score":0.0052879453},"labels":[],"label_agreement":null},{"id":"W2021521383","doi":"10.5402/2012/816846","title":"Metabolic Syndrome in Canadian Adults and Adolescents: Prevalence and Associated Dietary Intake","year":2012,"lang":"en","type":"article","venue":"ISRN Obesity","topic":"Diet and metabolism studies","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Metabolic syndrome; Medicine; Environmental health; Pediatrics; Gerontology; Physiology; Internal medicine; Obesity","score_opus":0.012236426763317008,"score_gpt":0.2418980939814683,"score_spread":0.2296616672181513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021521383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630692,0.0093422225,0.00013143083,0.0010965805,0.000059171347,0.00009039615,0.018473309,0.000022005872,0.0077157323],"genre_scores_gemma":[0.9873602,0.0059712757,0.0003329743,0.00020238108,0.000026693635,0.000045553355,0.005134422,0.000004838844,0.00092170807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994404,0.00002390873,0.00003190986,0.000068295136,0.00032010552,0.00011539767],"domain_scores_gemma":[0.9994599,0.000017714276,0.00012354185,0.000009744315,0.00027909144,0.000109985456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044394596,0.00032782048,0.00033938332,0.0020070605,0.0016287753,0.0007483688,0.00060845073,0.00035684014,0.0022965414],"category_scores_gemma":[0.0010186101,0.00021878816,0.0004180707,0.0054181665,0.00028285375,0.00024907384,0.00048091085,0.00039583223,0.00017149713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044533226,0.000020762536,0.98778874,0.00012374093,0.00006598289,0.00008210473,0.00043776308,0.000024620333,0.00009882342,0.00009676387,0.0024878832,0.008728275],"study_design_scores_gemma":[0.0000027604547,0.000006484375,0.99859387,0.000038690832,0.000018206443,0.000061231134,0.00034576328,0.00003395584,0.00001124077,0.000009049249,0.000875483,0.0000032046305],"about_ca_topic_score_codex":0.98558074,"about_ca_topic_score_gemma":0.98789364,"teacher_disagreement_score":0.014419258,"about_ca_system_score_codex":0.008751628,"about_ca_system_score_gemma":0.0112107815,"threshold_uncertainty_score":0.06349784},"labels":[],"label_agreement":null},{"id":"W2027496959","doi":"10.1155/2013/435027","title":"From Passive Overeating to “Food Addiction”: A Spectrum of Compulsion and Severity","year":2013,"lang":"en","type":"review","venue":"ISRN Obesity","topic":"Eating Disorders and Behaviors","field":"Psychology","cited_by":148,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Overeating; Food addiction; Addiction; Environmental health; Psychology; Psychiatry; Medicine; Internal medicine; Obesity","score_opus":0.03761650990335054,"score_gpt":0.33292919539087196,"score_spread":0.29531268548752143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027496959","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00055780244,0.99582255,0.00022394532,0.00041427894,0.0002053541,0.000010080812,0.000028032422,0.000016413598,0.0027215665],"genre_scores_gemma":[0.0022830435,0.99637175,0.00021238074,0.0002327704,0.0001483614,0.00000955331,0.00003610312,0.0000021554017,0.00070398854],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998109,0.00003057689,0.0000347015,0.00004072021,0.00006600881,0.000017189515],"domain_scores_gemma":[0.99982435,0.00006433667,0.00003819645,0.0000062638887,0.00004646538,0.00002045012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034151768,0.00094928907,0.0012331676,0.002875659,0.00029713748,0.001031853,0.0006963335,0.0008429182,0.0025823507],"category_scores_gemma":[0.00052488147,0.0001986909,0.00047639938,0.0024818457,0.0010167675,0.001050604,0.0007828723,0.0013616048,0.0012022479],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069760325,0.00008247666,0.0010616683,0.011584724,0.0000845697,0.00021850193,0.00016910884,0.0001548722,0.0011531346,0.0034335305,0.016101114,0.9658865],"study_design_scores_gemma":[0.000034297136,0.00025866344,0.016579669,0.013633953,0.00022411878,0.009111286,0.0007609512,0.00019483684,0.00083627796,0.006994611,0.9513094,0.000061952946],"about_ca_topic_score_codex":0.0013816364,"about_ca_topic_score_gemma":0.002322062,"teacher_disagreement_score":0.002875659,"about_ca_system_score_codex":0.0006264446,"about_ca_system_score_gemma":0.0009071917,"threshold_uncertainty_score":0.008638799},"labels":[],"label_agreement":null},{"id":"W2052811721","doi":"10.1155/2014/312826","title":"Appetite Sensations, Appetite Signaling Proteins, and Glucose in Obese Adolescents with Subclinical Binge Eating Disorder","year":2014,"lang":"en","type":"article","venue":"ISRN Obesity","topic":"Eating Disorders and Behaviors","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Canada Foundation for Innovation; CHEO Research Institute","keywords":"Appetite; Subclinical infection; Binge-eating disorder; Binge eating; Internal medicine; Endocrinology; Medicine; Obesity; Eating disorders; Psychology; Bulimia nervosa; Psychiatry","score_opus":0.01235816581960755,"score_gpt":0.2761216409108662,"score_spread":0.2637634750912587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052811721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997825,0.00007837554,0.000018573759,0.000009928882,0.0000021386124,0.0000023056355,0.0000111738555,6.1350977e-7,0.00009442415],"genre_scores_gemma":[0.9998192,0.000038773458,0.000042630796,0.000011398788,0.0000018626423,0.000002862387,0.000026701267,4.0083845e-7,0.000056159373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987113,0.00002806512,0.000015728101,0.0000188909,0.000038602313,0.000027513976],"domain_scores_gemma":[0.99959975,0.000054917164,0.00017995485,0.000009678767,0.000049079015,0.00010664831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033003723,0.00023617048,0.00025524164,0.0005194692,0.00023744958,0.00037999265,0.000102317994,0.00020680644,0.0012374269],"category_scores_gemma":[0.0011650493,0.00015374378,0.00016704526,0.00027775305,0.0003009134,0.000216952,0.00035405913,0.00032416006,0.00010648501],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017958283,0.000112555106,0.99506855,0.000020701114,0.00002496538,0.00023441928,0.00023681796,0.00001929777,0.0011209539,0.00001596243,0.000039184026,0.002927131],"study_design_scores_gemma":[0.0000060435395,0.00020070106,0.9988514,0.000004703003,0.000010448675,0.0004256306,0.0003320885,0.00004879888,0.000068643036,0.000013699232,0.000036617435,0.0000011394027],"about_ca_topic_score_codex":0.0021710508,"about_ca_topic_score_gemma":0.00440937,"teacher_disagreement_score":0.0021710508,"about_ca_system_score_codex":0.00017275069,"about_ca_system_score_gemma":0.00015679297,"threshold_uncertainty_score":0.004316807},"labels":[],"label_agreement":null},{"id":"W2056325013","doi":"10.1155/2013/490923","title":"Relationship between Birth Weight and Metabolic Status in Obese Adolescents","year":2013,"lang":"en","type":"article","venue":"ISRN Obesity","topic":"Birth, Development, and Health","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Calgary; SickKids Foundation; University of Toronto; St Joseph's Health Care; London Health Sciences Centre; Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research; Children's Health Foundation; London Health Sciences Centre","keywords":"Obesity; Medicine; Demography; Internal medicine; Sociology","score_opus":0.032165516932746364,"score_gpt":0.2909928191946689,"score_spread":0.2588273022619225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056325013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993523,0.00038649127,0.000051793908,0.000019955083,0.000004719945,0.0000018804677,0.00009242178,0.0000016611694,0.00008870072],"genre_scores_gemma":[0.99939466,0.00019564321,0.0000926359,0.000012329222,0.0000069672,0.000005466845,0.00020900962,0.0000015989799,0.00008172455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997464,0.00007311893,0.000027141381,0.000055718123,0.00006122356,0.000036356883],"domain_scores_gemma":[0.9986534,0.0002548752,0.0006854495,0.00005502856,0.00011138232,0.00023971986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005028016,0.00030475244,0.00025216246,0.0005829661,0.00022115391,0.00046110165,0.0002331554,0.0003579396,0.0009740127],"category_scores_gemma":[0.0022580654,0.00023469995,0.00024318717,0.000476029,0.00020075633,0.00024885166,0.0002798871,0.00052510016,0.00015542145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059596416,0.000012047505,0.99917895,0.0000037979323,0.000025028088,0.00005246826,0.000020945763,0.000012652931,0.00015777846,0.0000057246693,0.000013625742,0.000457366],"study_design_scores_gemma":[0.0000024774754,0.00007580478,0.9994655,0.0000039823813,0.000012870887,0.0002752765,0.000040473078,0.000051151248,0.000031843814,0.000005403192,0.000034172488,9.313624e-7],"about_ca_topic_score_codex":0.0019036952,"about_ca_topic_score_gemma":0.0017912401,"teacher_disagreement_score":0.0019036952,"about_ca_system_score_codex":0.00011710032,"about_ca_system_score_gemma":0.00014568951,"threshold_uncertainty_score":0.0037852526},"labels":[],"label_agreement":null},{"id":"W2083145627","doi":"10.1155/2014/579083","title":"Health Communication Cards as a Tool for Behaviour Change","year":2014,"lang":"en","type":"article","venue":"ISRN Obesity","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Canadian Institutes of Health Research","keywords":"Health care; Set (abstract data type); Conversation; Futures studies; Context (archaeology); Behaviour change; Knowledge management; Psychology; Medicine; Nursing; Public relations; Medical education; Computer science; Psychological intervention; Political science","score_opus":0.13582233592424206,"score_gpt":0.49208997636739266,"score_spread":0.3562676404431506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083145627","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32216012,0.0019703682,0.44179243,0.020727003,0.00617995,0.04344878,0.010245467,0.0451481,0.1083278],"genre_scores_gemma":[0.20434593,0.0007954333,0.74918896,0.0020776822,0.00056001736,0.018672353,0.002408984,0.00066249585,0.021288179],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9729267,0.020797076,0.0022796465,0.00093988125,0.0024221984,0.00063452276],"domain_scores_gemma":[0.88018626,0.09792808,0.0040275496,0.008699846,0.005948156,0.0032100168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026871664,0.0017856549,0.00075869536,0.003991262,0.0014248047,0.0033950373,0.0020050795,0.0018616891,0.023353424],"category_scores_gemma":[0.07063924,0.0008725405,0.00069440046,0.0018561746,0.0011957485,0.004830058,0.0042240256,0.0023096742,0.0057508005],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018906363,0.0033012265,0.008688981,0.0013011178,0.000056020475,0.00039555956,0.009882381,0.000844322,0.00391748,0.0042233435,0.06652283,0.898976],"study_design_scores_gemma":[0.005816652,0.018884623,0.072108164,0.00714651,0.00061992236,0.004182246,0.026781438,0.040914938,0.044784166,0.032828514,0.74420035,0.0017324813],"about_ca_topic_score_codex":0.00063315587,"about_ca_topic_score_gemma":0.0006644223,"teacher_disagreement_score":0.026871664,"about_ca_system_score_codex":0.001358535,"about_ca_system_score_gemma":0.0021396372,"threshold_uncertainty_score":0.14211267},"labels":[],"label_agreement":null},{"id":"W2125140528","doi":"10.1155/2013/296597","title":"Early Outcomes of Roux-en-Y Gastric Bypass in a Publically Funded Obesity Program","year":2013,"lang":"en","type":"article","venue":"ISRN Obesity","topic":"Bariatric Surgery and Outcomes","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Royal Alexandra Hospital; University of Alberta","funders":"","keywords":"Gastric bypass; Medicine; Roux-en-Y anastomosis; Weight loss; Obesity; Algorithm; Internal medicine; Mathematics","score_opus":0.015074999071218733,"score_gpt":0.26640482005275345,"score_spread":0.2513298209815347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125140528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99899703,0.0002188105,0.000022011722,0.00021414492,0.000005205898,0.000012474326,0.00019089377,0.0000016327525,0.00033769614],"genre_scores_gemma":[0.99950576,0.00014883134,0.000032100343,0.000044566143,0.000010010008,0.000008244906,0.00019647442,9.1998095e-7,0.00005310906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874616,0.0002525347,0.00009004754,0.00009345504,0.00029607082,0.0005217432],"domain_scores_gemma":[0.9919818,0.0011321674,0.0043984177,0.00014821586,0.0007648605,0.0015744541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010416985,0.0001319101,0.00019267817,0.00074955035,0.000863398,0.00093582034,0.0004577549,0.0003156228,0.0010570191],"category_scores_gemma":[0.005656888,0.00015235781,0.00021601532,0.0012576364,0.0005426285,0.00046825866,0.00079943234,0.0005242804,0.00008108864],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006197851,0.00008197706,0.9968046,0.000018395678,0.000014731104,0.00016428478,0.00014350958,0.000031867712,0.000035590114,0.000024017305,0.0001782082,0.0024407334],"study_design_scores_gemma":[0.000007708961,0.00014043346,0.9981806,0.000025194548,0.000011526536,0.00032302545,0.000978257,0.00008316306,0.000039041246,0.0000150949245,0.0001925091,0.0000034235427],"about_ca_topic_score_codex":0.048036333,"about_ca_topic_score_gemma":0.10185927,"teacher_disagreement_score":0.048036333,"about_ca_system_score_codex":0.0032516643,"about_ca_system_score_gemma":0.0039307484,"threshold_uncertainty_score":0.09551346},"labels":[],"label_agreement":null},{"id":"W2125340452","doi":"10.1155/2013/390130","title":"Youth, Caregiver, and Prescriber Experiences of Antipsychotic-Related Weight Gain","year":2013,"lang":"en","type":"article","venue":"ISRN Obesity","topic":"Eating Disorders and Behaviors","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University","funders":"Nova Scotia Health Research Foundation","keywords":"Antipsychotic; Weight gain; Psychology; Psychiatry; Medicine; Schizophrenia (object-oriented programming); Body weight; Internal medicine","score_opus":0.014441472870104033,"score_gpt":0.2625020097846633,"score_spread":0.2480605369145593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125340452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99614185,0.0009356787,0.00042145335,0.00064834615,0.00004081706,0.000023453194,0.000040394265,0.000006609394,0.001741478],"genre_scores_gemma":[0.99860865,0.0005676147,0.00019483939,0.000175867,0.000011093977,0.000022948396,0.000019513793,0.000004817076,0.00039457178],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9967694,0.0023282147,0.00011490273,0.00013611207,0.0002394925,0.0004117844],"domain_scores_gemma":[0.9966317,0.0018002788,0.0006449638,0.00007907634,0.00027040558,0.00057356834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037991647,0.0004155116,0.000513656,0.00067162496,0.0039194375,0.0024027936,0.0006155208,0.00078455266,0.001503792],"category_scores_gemma":[0.0065588877,0.000398077,0.00033470528,0.0004917296,0.0043483255,0.0023216223,0.003774983,0.0015611448,0.00010253209],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006379052,0.00003607197,0.02476015,0.00010143976,0.000009774432,0.0015725598,0.96800786,0.000025673437,0.0004063759,0.00056247396,0.00051588065,0.0039380225],"study_design_scores_gemma":[0.000005947612,0.00006617502,0.009569703,0.00011063202,0.000008953792,0.00096802955,0.9855482,0.000043946107,0.00013038483,0.00012858174,0.003408369,0.000011063396],"about_ca_topic_score_codex":0.0076644015,"about_ca_topic_score_gemma":0.014855929,"teacher_disagreement_score":0.0076644015,"about_ca_system_score_codex":0.002248304,"about_ca_system_score_gemma":0.0020374146,"threshold_uncertainty_score":0.02009219},"labels":[],"label_agreement":null},{"id":"W2161641833","doi":"10.1155/2013/134835","title":"The Relation between Aerobic Fitness, Muscular Fitness, and Obesity in Children from Three Countries at Different Stages of the Physical Activity Transition","year":2013,"lang":"en","type":"article","venue":"ISRN Obesity","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Children's Hospital of Eastern Ontario; Queen's University","funders":"Canadian Institutes of Health Research; Health Canada; Institut pour la Recherche en Santé Publique; Institute of Nutrition, Metabolism and Diabetes; International Development Research Centre; Public Health Agency; Public Health Agency of Canada","keywords":"Kenya; Physical fitness; Waist; Aerobic exercise; Obesity; Body mass index; Demography; Medicine; Anthropometry; Childhood obesity; Physical therapy; Biology; Overweight; Endocrinology; Internal medicine; Ecology","score_opus":0.009504442132234356,"score_gpt":0.23110847565451967,"score_spread":0.2216040335222853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161641833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993692,0.0001703699,0.000019016386,0.000017864568,0.0000021511728,0.0000056553513,0.00022085234,7.8879384e-7,0.00019421315],"genre_scores_gemma":[0.9992681,0.00015676061,0.00007348722,0.000014033242,0.0000017742091,0.000011987549,0.00038797295,0.0000010037952,0.000084775544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996331,0.00005611412,0.00002852047,0.0000706601,0.00007526199,0.00013634581],"domain_scores_gemma":[0.9991535,0.00012596125,0.0003614091,0.000025674823,0.00013795838,0.00019550702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049772894,0.00037842858,0.00031246204,0.0009409622,0.0008555019,0.00072711194,0.00032414027,0.00036671452,0.0011254004],"category_scores_gemma":[0.0016710216,0.0003298032,0.00036025365,0.0012865664,0.0005098104,0.00022076016,0.0006014285,0.0005628628,0.00012990751],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033762448,0.000010859605,0.9990977,0.000009369281,0.000021048221,0.000026504724,0.00022299481,0.000010311155,0.00007450111,0.000006228729,0.000031225725,0.00045550955],"study_design_scores_gemma":[0.0000013718837,0.000017707867,0.9995129,0.000003963485,0.000008281665,0.00003537541,0.00034526148,0.000008750335,0.000013097569,0.0000016971422,0.000050573533,0.0000010108413],"about_ca_topic_score_codex":0.16974914,"about_ca_topic_score_gemma":0.25470164,"teacher_disagreement_score":0.16974914,"about_ca_system_score_codex":0.00080399937,"about_ca_system_score_gemma":0.0008446323,"threshold_uncertainty_score":0.3375222},"labels":[],"label_agreement":null}]}