{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":290,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":290,"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"},"query_hash":"322e135eda7f","filters":{"venue":"Preventive Medicine Reports"}},"results":[{"id":"W2913897984","doi":"10.1016/j.pmedr.2019.100822","title":"Diabetes increases the risk of depression: A systematic review, meta-analysis and estimates of population attributable fractions based on prospective studies","year":2019,"lang":"en","type":"review","venue":"Preventive Medicine Reports","topic":"Diabetes Management and Education","field":"Medicine","cited_by":176,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Douglas Mental Health University Institute; Douglas College; University of Saskatchewan","funders":"School of Public Health, University of Michigan; University of Saskatchewan","keywords":"Medicine; Diabetes mellitus; Depression (economics); Cochrane Library; Odds ratio; Meta-analysis; Population; Publication bias; Prospective cohort study; Internal medicine; Cohort study; Incidence (geometry); Environmental health; Endocrinology","retraction":null,"screen_n_in":null,"score":{"opus":0.09440025310724152,"gpt":0.4048125951084955,"spread":0.3104123420012539,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003409304,0.000437078,0.009080702,0.0005898785,0.0000880689,0.000007124187,0.00008950666,0.0000852083,0.000104663],"category_scores_gemma":[0.009358947,0.0001993071,0.00157624,0.001254444,0.0001595829,0.00008374143,0.00007497484,0.0002357623,0.000001559394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009936484,"about_ca_system_score_gemma":0.00008224596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000164129,"about_ca_topic_score_gemma":0.000005800497,"domain_scores_codex":[0.9959732,0.0006208279,0.00199616,0.0005322224,0.0007010899,0.0001765059],"domain_scores_gemma":[0.990183,0.002621982,0.005455312,0.001097387,0.0005787032,0.00006360364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.000004234597,0.000226308,0.06181252,0.7834618,0.1520444,0.000004243517,0.00004276578,0.000009119909,1.206969e-7,0.000005530468,0.0003396498,0.002049277],"study_design_scores_gemma":[0.00009673471,0.0001608817,0.006501672,0.2461103,0.7464134,0.000005942381,0.00006659711,0.00007444334,0.000003963651,0.0001208955,0.0003306674,0.0001145185],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002216599,0.9924253,0.00008670253,0.0000982879,0.0001115468,0.00686599,0.00002802183,0.00002030607,0.0001421553],"genre_scores_gemma":[0.0176083,0.9796678,0.0001327766,0.00004037568,0.0000498899,0.001480282,0.0005308624,0.00002895847,0.0004606894],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5943689,"threshold_uncertainty_score":0.9989856,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2146652859","doi":"10.1016/j.pmedr.2015.03.006","title":"A self-regulation resource model of self-compassion and health behavior intentions in emerging adults","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Mindfulness and Compassion Interventions","field":"Psychology","cited_by":122,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Bishop's University","funders":"Canada Research Chairs","keywords":"Self-compassion; Mediation; Self-efficacy; Affect (linguistics); Psychological intervention; Psychology; Health psychology; Structural equation modeling; Clinical psychology; Social psychology; Mindfulness; Public health; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.0645913061328902,"gpt":0.3797537002833383,"spread":0.3151623941504481,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001393724,0.0001488455,0.00039108,0.0003502775,0.00006514938,0.000004708219,0.00007005301,0.00006721928,0.0003273911],"category_scores_gemma":[0.0000619382,0.0001250121,0.0000801249,0.0002758828,0.00006013588,0.00008005398,0.00007798299,0.0001739849,0.000001983636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046034,"about_ca_system_score_gemma":0.00009216708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005032365,"about_ca_topic_score_gemma":0.000140436,"domain_scores_codex":[0.9977748,0.0002260498,0.00102206,0.0003827034,0.0003773037,0.0002170911],"domain_scores_gemma":[0.998536,0.00002712047,0.0007108706,0.0003426145,0.000193291,0.0001901238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004629792,0.01060388,0.6271308,0.001062705,0.0005117843,0.0004016089,0.1015791,0.0008505716,0.0002739144,0.05318484,0.08089785,0.12304],"study_design_scores_gemma":[0.005565526,0.001319308,0.9079786,0.004592923,0.0003502491,0.0006541329,0.02134578,0.03696017,0.0002389979,0.01510859,0.005371358,0.0005143866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264576,0.001087091,0.06125013,0.001844963,0.0006019357,0.001022714,0.000005815232,0.0001202403,0.007609442],"genre_scores_gemma":[0.9975154,0.000004207784,0.0006532838,0.00002301766,0.00005126727,0.0007732501,0.00002450776,0.00001622432,0.0009388254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2808478,"threshold_uncertainty_score":0.5097845,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3106644634","doi":"10.1016/j.pmedr.2020.101275","title":"Parent anxiety and perceptions of their child’s physical activity and sedentary behaviour during the COVID-19 pandemic in Canada","year":2020,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":100,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Brock University; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Anxiety; Screen time; Pandemic; Distancing; Public health; Physical activity; Coronavirus disease 2019 (COVID-19); Medicine; Social distance; Sedentary lifestyle; Psychology; Demography; Gerontology; Psychiatry; Physical therapy; Disease; Nursing","retraction":null,"screen_n_in":null,"score":{"opus":0.05013213082234477,"gpt":0.3816119793793067,"spread":0.3314798485569619,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002757273,0.0001306747,0.0002919756,0.00002973216,0.0001037936,0.0000019655,0.00005023734,0.00002702719,0.0001201832],"category_scores_gemma":[0.00006266424,0.00008683077,0.00003248418,0.0001160259,0.0001501142,0.00003423784,0.00008980779,0.0002571902,1.731474e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000423385,"about_ca_system_score_gemma":0.0004677432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7424176,"about_ca_topic_score_gemma":0.5281966,"domain_scores_codex":[0.9988414,0.0001904576,0.0002561547,0.0003467344,0.0001796666,0.000185585],"domain_scores_gemma":[0.9992204,0.0001385007,0.0001880372,0.0001813165,0.00001392315,0.0002578395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005733237,0.00008998995,0.9801444,0.0001412661,0.00002503126,0.0001057308,0.0142714,0.000001741306,0.000713647,0.000004801609,0.0001778892,0.004266751],"study_design_scores_gemma":[0.0005947638,0.00007906215,0.9887962,0.00005014154,0.00004368542,0.000503668,0.009338555,0.00001867052,0.00004417055,0.00004202594,0.0004154766,0.00007361076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942004,0.0004889442,0.00003126982,0.004437537,0.0001471114,0.0005203587,0.00002740758,0.00001282283,0.0001341182],"genre_scores_gemma":[0.9986954,0.0002253991,0.000001084376,0.0008616183,0.0001138893,0.00004261896,0.00001054449,0.000008692706,0.00004073669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2142209,"threshold_uncertainty_score":0.4804125,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2183518226","doi":"10.1016/j.pmedr.2015.11.009","title":"Human development, occupational structure and physical inactivity among 47 low and middle income countries","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Physical Activity and Health","field":"Medicine","cited_by":91,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University; Simon Fraser University","funders":"","keywords":"Low and middle income countries; Middle income; Physical activity; Environmental health; Low income; Medicine; Gerontology; Demographic economics; Developing country; Physical therapy; Economic growth; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.04578989018669185,"gpt":0.3443377335155499,"spread":0.298547843328858,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003085731,0.000195813,0.0006147478,0.00008822281,0.0001578769,0.00001163032,0.00002675843,0.00007124778,0.00002272219],"category_scores_gemma":[0.000282824,0.0001465264,0.00002681731,0.0001231191,0.0004858,0.0002486825,0.00008876825,0.0002969314,0.000001081983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001285675,"about_ca_system_score_gemma":0.0002873563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001869761,"about_ca_topic_score_gemma":0.00008534901,"domain_scores_codex":[0.9985089,0.00006904411,0.0003174008,0.0003782933,0.0005017786,0.0002245711],"domain_scores_gemma":[0.9988773,0.0000830415,0.0002711769,0.0001748659,0.0001886249,0.0004050016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001292704,0.0003476474,0.9922042,0.0007723416,0.0001052197,0.0002251839,0.003978772,4.215059e-7,0.0006497491,0.0003010128,0.000210533,0.001075644],"study_design_scores_gemma":[0.001251276,0.0005374875,0.9885561,0.0009082452,0.00009071772,0.0002782615,0.0001408568,0.00003909904,0.002503138,0.005113632,0.0004357101,0.0001455066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998226,0.0001479613,0.00007178809,0.0003652782,0.00008000314,0.0004043424,0.00000398194,0.00004056779,0.0006600565],"genre_scores_gemma":[0.998968,0.000008648363,0.0001048759,0.00009085733,0.0004244977,0.00001655788,0.00004112115,0.00001399469,0.0003314711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004812619,"threshold_uncertainty_score":0.5975174,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2588595213","doi":"10.1016/j.pmedr.2017.02.004","title":"Tobacco use cessation interventions for lesbian, gay, bisexual, transgender and queer youth and young adults: A scoping review","year":2017,"lang":"en","type":"review","venue":"Preventive Medicine Reports","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Impact; University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Transgender; Psychological intervention; CINAHL; Lesbian; Smoking cessation; Medicine; Young adult; Grey literature; Intervention (counseling); MEDLINE; Queer; Sexual minority; Family medicine; Psychology; Gerontology; Psychiatry","retraction":null,"screen_n_in":null,"score":{"opus":0.4387786482710899,"gpt":0.5077036494211687,"spread":0.06892500115007882,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001818146,0.0005475666,0.002725337,0.0003409451,0.0002466977,0.0000732592,0.0000876916,0.0002995148,0.00007010707],"category_scores_gemma":[0.001803717,0.0004101169,0.0005762827,0.0001617639,0.0002422144,0.0003418484,0.00006524811,0.0003893986,3.818903e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001201552,"about_ca_system_score_gemma":0.0002801282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000187646,"about_ca_topic_score_gemma":0.00007827339,"domain_scores_codex":[0.9963175,0.0002042331,0.001820703,0.0009193797,0.0004304972,0.0003076656],"domain_scores_gemma":[0.9964584,0.0001658005,0.001979471,0.0007628244,0.0004043573,0.0002291833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00001640489,0.00008053106,0.006033374,0.30676,0.0003277851,0.00009678352,0.000878486,5.556307e-9,2.930572e-7,0.000005730759,0.0004011714,0.6853995],"study_design_scores_gemma":[0.0009098647,0.0002975164,0.0042845,0.9375508,0.01841059,0.001413038,0.0002256098,4.818379e-7,8.847539e-7,0.00002252841,0.03652006,0.0003640666],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006494608,0.9889961,0.001612854,0.0001414476,0.0007742124,0.007588513,0.00006496583,0.00006483914,0.0001075908],"genre_scores_gemma":[0.002324924,0.9932879,0.00007917272,0.00004737073,0.0003408867,0.0009768412,0.001536748,0.00008557741,0.001320642],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6850354,"threshold_uncertainty_score":0.9998351,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2550897085","doi":"10.1016/j.pmedr.2016.11.012","title":"Consumption of Caffeinated Energy Drinks Among Youth and Young Adults in Canada","year":2016,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Coffee research and impacts","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Canadian Obesity Network; Health Canada; Impact; University of Waterloo","funders":"Institute of Population and Public Health; Institute of Neurosciences, Mental Health and Addiction; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Health Canada; Public Health Agency; Public Health Agency of Canada","keywords":"Consumption (sociology); Ethnic group; Environmental health; Context (archaeology); Demography; Medicine; Logistic regression; Young adult; Gerontology; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01443555278594382,"gpt":0.2616893475267043,"spread":0.2472537947407605,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004067145,0.0001338993,0.0004159366,0.0001913788,0.00001758803,0.00000163045,0.00003054192,0.00004611251,0.0001448095],"category_scores_gemma":[0.001027907,0.00008040796,0.00002856581,0.0001613141,0.0002006859,0.00007955242,0.00004557622,0.0001015832,2.608914e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003230853,"about_ca_system_score_gemma":0.0006761779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8261415,"about_ca_topic_score_gemma":0.7304887,"domain_scores_codex":[0.9983617,0.00008333496,0.0004957598,0.0002744682,0.0004877599,0.0002969598],"domain_scores_gemma":[0.9989324,0.00009693371,0.0002411506,0.0002410952,0.0001804987,0.0003079748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001774645,0.00004270312,0.9686854,0.0001318982,0.00004937961,0.001087186,0.0005092658,6.982138e-8,0.004512776,0.000006251689,0.0003379557,0.02445967],"study_design_scores_gemma":[0.002072144,0.0002986411,0.9859158,0.003110019,0.00005585448,0.0003322455,0.0004125585,0.0000249706,0.007550674,0.00005535294,0.00008752351,0.00008418838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970017,0.001164465,0.0001074364,0.0003567666,0.0001474324,0.000299664,0.000005400356,0.00001092822,0.0009062098],"genre_scores_gemma":[0.9982835,0.0007406574,0.000005321188,0.00002063272,0.00005065761,0.00001218462,0.00002119943,0.00001251698,0.0008533296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0956528,"threshold_uncertainty_score":0.3278942,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2094949899","doi":"10.1016/j.pmedr.2015.04.003","title":"Screen time is associated with dietary intake in overweight Canadian children","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université Laval; McGill University Health Centre; Université de Montréal; McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Overweight; Screen time; Body mass index; Medicine; Percentile; Interquartile range; Obesity; Demography; Gerontology; Internal medicine; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01803251721739007,"gpt":0.2611250992491773,"spread":0.2430925820317872,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008605888,0.0003231388,0.0008710873,0.0003224308,0.00005153636,0.0000090281,0.00009976635,0.0001361117,0.0004033213],"category_scores_gemma":[0.0007559248,0.0002388108,0.00009133459,0.0007022481,0.0002310536,0.0001871666,0.00007729286,0.0004802161,0.00005144921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006791995,"about_ca_system_score_gemma":0.00064848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1064732,"about_ca_topic_score_gemma":0.04426071,"domain_scores_codex":[0.9973412,0.0001405143,0.0005123774,0.0005979794,0.0008578385,0.0005501135],"domain_scores_gemma":[0.9978525,0.00007825781,0.0003150139,0.00052401,0.0002987942,0.0009314483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004776267,0.001530421,0.9813048,0.00001287841,0.0003465379,0.002992022,0.0004927017,0.00000154672,0.00006561507,0.00001118125,0.01225398,0.0009405711],"study_design_scores_gemma":[0.001742529,0.001064698,0.9931752,0.000771074,0.000321676,0.0004961309,0.00004821743,0.00006857745,0.0003167267,0.001161887,0.0005792369,0.000254032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971522,0.0002932615,0.000004401705,0.002427517,0.0001099224,0.0009443298,0.00002691432,0.00007207827,0.02459954],"genre_scores_gemma":[0.9948257,0.000009083909,0.00004267673,0.000679243,0.0003376499,0.00002183478,0.0004842895,0.00004920368,0.003550305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06221253,"threshold_uncertainty_score":0.9738423,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1996254614","doi":"10.1016/j.pmedr.2015.03.007","title":"Mobility disability and the pattern of accelerometer-derived sedentary and physical activity behaviors in people with multiple sclerosis","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"National Institute of Neurological Disorders and Stroke; Multiple Sclerosis Society","keywords":"Sedentary behavior; Physical activity; Multiple sclerosis; Medicine; Population; Physical medicine and rehabilitation; Physical therapy; Gerontology; Psychology; Environmental health; Psychiatry","retraction":null,"screen_n_in":null,"score":{"opus":0.07687709251226739,"gpt":0.33683442795135,"spread":0.2599573354390827,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00169476,0.0002398322,0.0009664358,0.00007119997,0.00006272907,0.000008275606,0.0000655312,0.00004557658,0.00001463192],"category_scores_gemma":[0.001459549,0.0001293179,0.0000710444,0.0002905718,0.002482828,0.0001473337,0.0003071517,0.0003161391,2.055648e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001313615,"about_ca_system_score_gemma":0.00006701436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01047648,"about_ca_topic_score_gemma":0.002124987,"domain_scores_codex":[0.9976892,0.000380469,0.000414097,0.0005606948,0.0006742081,0.0002813663],"domain_scores_gemma":[0.99805,0.0007118881,0.0002745127,0.0005354136,0.000218521,0.0002097189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008516966,0.00105503,0.9576654,0.0002208885,0.0001095961,0.00002303292,0.006073757,0.00000130104,0.01031365,1.705685e-7,0.00002173887,0.02366368],"study_design_scores_gemma":[0.007135009,0.0006156068,0.9826882,0.0004338969,0.0002015709,0.00006017307,0.002655421,0.0003068825,0.005764995,0.00002571709,0.000003479069,0.0001089924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961745,0.0002971216,0.0001008727,0.001303414,0.00005022393,0.001996326,0.000009296165,0.00002059641,0.00004768001],"genre_scores_gemma":[0.9994552,0.0001269897,0.00004370815,0.00001579247,0.00005266149,0.0002577527,0.00001134827,0.00001698611,0.00001958924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0250228,"threshold_uncertainty_score":0.9961128,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3139519497","doi":"10.1016/j.pmedr.2021.101351","title":"Trends in youth cannabis use across cannabis legalization: Data from the COMPASS prospective cohort study","year":2021,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Homewood Research Institute; Université Laval; University of Waterloo","funders":"Canadian Institutes of Health Research; Health Canada","keywords":"Cannabis; Legalization; Medicine; Demography; Cohort; Prospective cohort study; Odds; Longitudinal study; Psychiatry; Sociology; Logistic regression","retraction":null,"screen_n_in":null,"score":{"opus":0.0663870593153654,"gpt":0.3824710520976047,"spread":0.3160839927822393,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002513973,0.0004193572,0.001079928,0.0001869123,0.0002785734,0.0001212249,0.0003923576,0.0001227606,0.00129614],"category_scores_gemma":[0.002370185,0.0002822177,0.0001458601,0.002033523,0.0004587825,0.0003822126,0.000845435,0.0007654079,0.000005274455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003835989,"about_ca_system_score_gemma":0.000795763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04697356,"about_ca_topic_score_gemma":0.0441291,"domain_scores_codex":[0.9941644,0.0005703018,0.001200721,0.001618538,0.001737251,0.0007088041],"domain_scores_gemma":[0.9951024,0.00003271418,0.0004109288,0.002996998,0.001116112,0.0003408595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001260918,0.0008337751,0.7806035,0.0000183286,0.0003922795,0.004652131,0.009203886,0.000006527923,0.00006678493,0.000006919848,0.202636,0.001453769],"study_design_scores_gemma":[0.002292218,0.0003118935,0.9433853,0.0002857336,0.0005035606,0.0004103032,0.01517434,0.0001215977,0.0001882947,0.00005046816,0.03701923,0.0002570529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532003,0.001725268,0.0001479363,0.03906863,0.0007840973,0.002502159,0.000439486,0.00007912963,0.002052991],"genre_scores_gemma":[0.9230437,0.00005694726,0.00001836952,0.000376823,0.0006835831,0.0003065869,0.003773695,0.00006268679,0.07167766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1656168,"threshold_uncertainty_score":0.999963,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3162457710","doi":"10.1016/j.pmedr.2021.101404","title":"Subjective well-being of Canadian children and youth during the COVID-19 pandemic: The role of the social and physical environment and healthy movement behaviours","year":2021,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":72,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Polytechnique Montréal; Toronto Metropolitan University","funders":"Fondation de Coopération Scientifique Campus Paris-Saclay; Ryerson University","keywords":"Pandemic; Psychology; Mental health; Social distance; Subjective well-being; Screen time; Logistic regression; Coping (psychology); Coronavirus disease 2019 (COVID-19); Public health; Developmental psychology; Demography; Gerontology; Social psychology; Clinical psychology; Medicine; Physical activity; Happiness; Psychiatry; Sociology; Disease","retraction":null,"screen_n_in":null,"score":{"opus":0.02113501053802192,"gpt":0.3095474784841543,"spread":0.2884124679461323,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006534653,0.000122753,0.0002348319,0.00005104413,0.0003350125,0.000005191462,0.00005621287,0.0000593745,0.00005699159],"category_scores_gemma":[0.00008361581,0.00006396895,0.00004876827,0.0001323376,0.0005525402,0.00001824076,0.00007744084,0.0002427457,1.584749e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006680948,"about_ca_system_score_gemma":0.0000495359,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07119136,"about_ca_topic_score_gemma":0.004815152,"domain_scores_codex":[0.9985541,0.0004270689,0.0002952527,0.0003217085,0.0002108646,0.0001910381],"domain_scores_gemma":[0.9991791,0.0001288459,0.0003133137,0.0002322439,0.00002084041,0.0001256923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002901644,0.00004810787,0.9572784,0.000007119252,0.000102729,0.0000107023,0.03945971,0.000001405372,0.0005213093,0.0003930313,0.00002669469,0.002121781],"study_design_scores_gemma":[0.0004170596,0.00008832083,0.9864128,0.00002559549,0.000142314,0.0002159587,0.008984732,0.000001058437,0.0002460575,0.003273255,0.0001318665,0.0000609957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933335,0.001393591,0.000009893706,0.002448474,0.0001302315,0.0004174307,0.00001577563,0.000006257043,0.002244882],"genre_scores_gemma":[0.9990633,0.0002176625,0.000001645096,0.0004194271,0.0001267436,0.000017837,0.000008250946,0.000008196484,0.0001369013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0663762,"threshold_uncertainty_score":0.9349937,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2593733575","doi":"10.1016/j.pmedr.2017.02.024","title":"The global burden of child burn injuries in light of country level economic development and income inequality","year":2017,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Gini coefficient; Economic inequality; Inequality; Gross domestic product; Per capita income; Per capita; Gross national income; Distribution (mathematics); Income distribution; Economics; Socioeconomics; Medicine; Environmental health; Economic growth; Population","retraction":null,"screen_n_in":null,"score":{"opus":0.02956949446874843,"gpt":0.3511743205895125,"spread":0.321604826120764,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004119545,0.0001519545,0.0006728445,0.00005905741,0.0002088118,0.000004571933,0.0001164522,0.0001140086,0.00002908983],"category_scores_gemma":[0.001680689,0.00009801254,0.00005604398,0.00004474858,0.0005882137,0.00009392344,0.0001569895,0.0001809329,8.551219e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010992,"about_ca_system_score_gemma":0.0001960349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008273245,"about_ca_topic_score_gemma":0.000418299,"domain_scores_codex":[0.99796,0.0001808827,0.001229475,0.0002616959,0.0001810458,0.0001868574],"domain_scores_gemma":[0.9977305,0.0001544599,0.001383405,0.0005646304,0.0000991539,0.00006785169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002526372,0.00004396262,0.9867243,0.0002364264,0.0001708853,0.00004502825,0.0007647593,0.000001257288,0.00009852305,0.002639387,0.0001490407,0.008873839],"study_design_scores_gemma":[0.0007208288,0.0001737759,0.9806259,0.001157344,0.00009682446,0.000170352,0.0002054995,0.00001041725,0.002252986,0.00783723,0.006664542,0.00008425951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834988,0.001991351,0.0001238379,0.003516989,0.0004147186,0.000449004,0.000009517244,0.000007469596,0.009988327],"genre_scores_gemma":[0.9989792,0.000248608,0.0001485828,0.00003662812,0.0001384756,0.0000193425,0.00002022046,0.00000624373,0.0004027247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01548039,"threshold_uncertainty_score":0.3996835,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3001414675","doi":"10.1016/j.pmedr.2020.101058","title":"Risk and protective factors of identity theft victimization in the United States","year":2020,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Identity theft; Credit card; Identity (music); Government (linguistics); Purchasing; Business; Credit card fraud; Internet privacy; Psychology; Payment; Computer security; Finance; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.02325592628041816,"gpt":0.2778429145342326,"spread":0.2545869882538144,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006229161,0.00008823915,0.0001733856,0.0000725952,0.00007447651,0.00001205675,0.0001358158,0.00001604956,0.000008157691],"category_scores_gemma":[0.0005076528,0.00005072243,0.00002406201,0.0005802214,0.00009578262,0.0002502733,0.0001397965,0.0001050867,2.053435e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000113211,"about_ca_system_score_gemma":0.00001205955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00204937,"about_ca_topic_score_gemma":0.00008976597,"domain_scores_codex":[0.9989441,0.0001809222,0.0003041411,0.0002064336,0.0002725075,0.00009191335],"domain_scores_gemma":[0.9993126,0.0001385955,0.0002670043,0.0001636376,0.00008939229,0.00002877095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002030822,0.0001101155,0.8123764,0.0001195821,0.0001569029,0.00008982309,0.1760742,0.000897806,0.0001852175,0.006240602,0.0002856699,0.003443327],"study_design_scores_gemma":[0.0004339241,0.0004174265,0.9691995,0.0001130875,0.00007200296,0.00001415879,0.005771939,0.007932641,0.001140143,0.01360621,0.001163428,0.0001354875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6859697,0.0001882748,0.3118464,0.0009892283,0.00005437917,0.0005015178,9.887656e-7,0.00002337998,0.0004262191],"genre_scores_gemma":[0.9995348,0.0001714921,0.0001056522,0.0001315523,0.00001929931,0.00001594606,0.0000087412,0.000002743997,0.000009718195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3135652,"threshold_uncertainty_score":0.3098049,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2605494996","doi":"10.1016/j.pmedr.2017.04.005","title":"Organized sport and physical activity participation and body mass index in children and youth: A longitudinal study","year":2017,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Body mass index; Longitudinal study; Psychology; Physical activity; Association (psychology); Demography; Cohort study; Obesity; Cohort; Medicine; Physical therapy","retraction":null,"screen_n_in":null,"score":{"opus":0.02873231932285697,"gpt":0.340982220465095,"spread":0.312249901142238,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006101732,0.0002651547,0.0008404278,0.0001066503,0.0001731081,0.00003684792,0.00005185773,0.00006491735,0.00001041478],"category_scores_gemma":[0.0004373434,0.0002081429,0.00003624097,0.00009969835,0.0004199557,0.0003208558,0.0002432937,0.0003470144,6.854985e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004715217,"about_ca_system_score_gemma":0.0000383973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00163577,"about_ca_topic_score_gemma":0.0001121025,"domain_scores_codex":[0.9982337,0.00005697791,0.0003005904,0.0006928712,0.0004460307,0.0002698376],"domain_scores_gemma":[0.998655,0.00004423329,0.0004373303,0.0005205572,0.00009311273,0.0002497917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001303735,0.004570012,0.9911785,0.00004438105,0.0001617941,0.0003480496,0.001282839,9.82156e-8,0.0005989015,0.00001699169,0.000004618466,0.00166347],"study_design_scores_gemma":[0.003017335,0.0008333982,0.9933723,0.0001774451,0.0006204182,0.0001481105,0.000280441,0.00009224584,0.0004515963,0.000829392,8.566579e-7,0.0001765209],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979526,0.00006096375,0.00001741174,0.0002713483,0.00006832238,0.001357092,0.00000275129,0.00003234329,0.0002371803],"genre_scores_gemma":[0.9994944,0.00002322284,0.00001111651,0.000008421797,0.0002988655,0.00003145815,0.00001405735,0.00002449049,0.00009394816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003736614,"threshold_uncertainty_score":0.8487823,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200167046","doi":"10.1016/j.pmedr.2021.101685","title":"Moderate-to-vigorous intensity physical activity among adolescents in the USA during the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Physical Activity and Health","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"National Institute on Drug Abuse; National Heart, Lung, and Blood Institute; National Institutes of Health; American Heart Association","keywords":"Pandemic; Socioeconomic status; Mental health; Medicine; Ethnic group; Demography; Cohort; Coping (psychology); Cohort study; Psychological intervention; Worry; Gerontology; Social support; Coronavirus disease 2019 (COVID-19); Population; Psychology; Environmental health; Anxiety; Clinical psychology; Psychiatry; Disease","retraction":null,"screen_n_in":null,"score":{"opus":0.07705465373324892,"gpt":0.3778844660014493,"spread":0.3008298122682004,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001132165,0.0002476152,0.0007642693,0.00007302492,0.0002765619,0.00001680249,0.0001284835,0.00007513131,0.00003454195],"category_scores_gemma":[0.001793023,0.0001361129,0.0001581486,0.0005781966,0.0003012631,0.0001320592,0.000176873,0.001023329,0.000009380853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003959721,"about_ca_system_score_gemma":0.0003852648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002110204,"about_ca_topic_score_gemma":0.001818435,"domain_scores_codex":[0.9973286,0.0005019802,0.000357453,0.0006078279,0.0007487768,0.0004553626],"domain_scores_gemma":[0.9981851,0.0003024085,0.0002429891,0.000710973,0.0001690909,0.0003894411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005116602,0.001952935,0.9773788,0.0004060293,0.00006469478,0.00374322,0.005165319,0.00005166302,0.008725503,0.00002196867,0.000359257,0.001618977],"study_design_scores_gemma":[0.0009581813,0.000192576,0.9924513,0.0004825949,0.0001204358,0.001952459,0.0004537099,0.0002766863,0.001634587,0.001027121,0.0003131851,0.0001371415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898096,0.00005347239,0.0007951292,0.007554148,0.0002104603,0.001015123,0.000002542163,0.0000446524,0.0005148451],"genre_scores_gemma":[0.995996,0.00003467954,0.000006308928,0.002777219,0.0006300854,0.00008182466,0.000009252375,0.00001806747,0.0004465551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01507255,"threshold_uncertainty_score":0.5550523,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3204123321","doi":"10.1016/j.pmedr.2021.101577","title":"Experimental study of front-of-package nutrition labels’ efficacy on perceived healthfulness of sugar-sweetened beverages among youth in six countries","year":2021,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Université Laval; University of Waterloo","funders":"Canadian Institutes of Health Research; Public Health Agency of Canada","keywords":"Sugar; Front (military); Environmental health; Psychology; Food science; Advertising; Medicine; Business; Chemistry; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.03227323337679506,"gpt":0.3274368003566099,"spread":0.2951635669798149,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006719258,0.0002298707,0.001150007,0.0002375606,0.00004223443,0.000003190778,0.00006257375,0.00008150231,0.000202966],"category_scores_gemma":[0.0004626336,0.0001943324,0.0001164101,0.0002830069,0.0002140696,0.00006658478,0.00007115297,0.0002145502,4.296751e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009876819,"about_ca_system_score_gemma":0.0001668104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001502402,"about_ca_topic_score_gemma":0.0003940187,"domain_scores_codex":[0.9970255,0.0002228221,0.001361744,0.0004542371,0.0007018268,0.0002338557],"domain_scores_gemma":[0.9980381,0.0002015813,0.0007244232,0.0004870945,0.0004356155,0.0001131824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001199386,0.01541993,0.8594652,0.001998291,0.0008148079,0.001388728,0.05348535,0.0000165864,0.0650861,0.00001634478,0.00003891894,0.00107039],"study_design_scores_gemma":[0.008608101,0.004051926,0.786378,0.006033893,0.0008178885,0.0000496189,0.03773273,0.00001487123,0.1561153,0.00001795054,0.00001192457,0.0001678391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991669,0.006274914,0.00004234366,0.0001198209,0.0002652547,0.001356561,0.00001211995,0.00001769776,0.000242273],"genre_scores_gemma":[0.9994462,0.0001392013,0.00006891615,0.00002313023,0.00006791391,0.00004950105,0.00008594002,0.00002546532,0.00009375369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09102919,"threshold_uncertainty_score":0.7924644,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981959934","doi":"10.1016/j.pmedr.2019.101006","title":"Physical activity mediates the relationship between outdoor time and mental health","year":2019,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto; Carleton University; Vitalité Health Network; Canada Research Chairs; University of Lethbridge; Université de Montréal; Université de Sherbrooke","funders":"Social Sciences and Humanities Research Council of Canada; Fondation de la recherche en santé du Nouveau-Brunswick; Université de Sherbrooke","keywords":"Mediation; Mental health; Flourishing; Psychological intervention; Physical activity; Psychology; Screen time; Medicine; Gerontology; Social psychology; Physical therapy; Psychiatry","retraction":null,"screen_n_in":null,"score":{"opus":0.02633633401048652,"gpt":0.3115679860324521,"spread":0.2852316520219655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009627924,0.0001306135,0.0002829488,0.00002259974,0.0001958673,0.000006911713,0.00007238123,0.00003217677,0.0006246582],"category_scores_gemma":[0.0001167197,0.00007932969,0.0000399209,0.0001427426,0.0002664297,0.0001500033,0.0001361811,0.0002148333,0.000241233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001283216,"about_ca_system_score_gemma":0.00002913376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001241488,"about_ca_topic_score_gemma":0.0001650944,"domain_scores_codex":[0.9986293,0.0001665605,0.0002028064,0.0003339199,0.0004186277,0.0002487448],"domain_scores_gemma":[0.9989039,0.000359121,0.0002903895,0.0002794841,0.000005248478,0.0001618151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004944605,0.00003641873,0.9892465,0.00001325619,0.00001008796,0.000003242788,0.00169451,0.00000113688,0.0001463442,0.00001364165,0.005594617,0.003235332],"study_design_scores_gemma":[0.000186982,0.000192849,0.9963817,0.00004734158,0.00001656264,0.00002246571,0.00008248488,0.0001113862,0.00002981747,0.001014193,0.001834052,0.00008015523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815371,0.0001432452,0.00003115195,0.01570843,0.0001080359,0.0006907007,0.000004674236,0.00002693084,0.001749701],"genre_scores_gemma":[0.9941485,0.00001502611,0.00002211885,0.0001652678,0.0001801979,0.00001044855,0.00002005681,0.00001128623,0.005427088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01554317,"threshold_uncertainty_score":0.683957,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3092589564","doi":"10.1016/j.pmedr.2020.101224","title":"The use of the behaviour change wheel in the development of ParticipACTION’s physical activity app","year":2020,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":65,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of British Columbia; Hospital for Sick Children; SickKids Foundation; Institute for Clinical Evaluative Sciences; Western University","funders":"Canadian Institutes of Health Research; Mitacs; Ontario Trillium Foundation; Public Health Agency; Public Health Agency of Canada","keywords":"Promotion (chess); Intervention (counseling); Behaviour change; Behavior change; Behavior change methods; Physical activity; Psychology; Identification (biology); Scale (ratio); Applied psychology; Health promotion; Process (computing); Psychological intervention; Computer science; Process management; Medicine; Social psychology; Engineering; Physical medicine and rehabilitation; Public health; Nursing; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.3285579218708078,"gpt":0.4849396147666433,"spread":0.1563816928958355,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001696268,0.0001170501,0.0003119023,0.00002632846,0.0005650668,0.000001699836,0.000173865,0.00005947695,0.00002511461],"category_scores_gemma":[0.001042035,0.00005267609,0.00006275599,0.0004153295,0.0001736178,0.00006862608,0.0001077568,0.0005552725,0.000003378444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008203986,"about_ca_system_score_gemma":0.0005848192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005777372,"about_ca_topic_score_gemma":0.0009176526,"domain_scores_codex":[0.9972544,0.0008266842,0.0008776019,0.0002241609,0.000469786,0.0003473244],"domain_scores_gemma":[0.9970378,0.001049354,0.001111436,0.0004943532,0.0001673585,0.0001397273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001819394,0.0009253375,0.7388943,0.001189106,0.00005389987,0.000008953849,0.1314016,0.000007000322,0.0009908821,0.001343802,0.01364459,0.1113586],"study_design_scores_gemma":[0.0002841846,0.00005367609,0.9083293,0.0002753911,0.0000504509,0.000002523537,0.002681666,0.0001166852,0.0002880594,0.0001615857,0.08770718,0.00004929974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961518,0.000139881,0.0004612576,0.03196958,0.0003334764,0.005267547,0.000005635299,0.00001748537,0.000287104],"genre_scores_gemma":[0.9923185,0.000061351,0.0000534775,0.0007855908,0.0002680703,0.006318655,0.000004810425,0.00001030262,0.0001793141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.169435,"threshold_uncertainty_score":0.4346094,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2412305368","doi":"10.1016/j.pmedr.2016.05.019","title":"Adverse childhood experiences, gender, and HIV risk behaviors: Results from a population-based sample","year":2016,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Child Abuse and Trauma","field":"Psychology","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Odds ratio; Odds; Medicine; Population; Demography; Behavioral Risk Factor Surveillance System; Logistic regression; Risk factor; Gerontology; Environmental health; Psychology; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.02227164471558378,"gpt":0.3013359019507661,"spread":0.2790642572351823,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004641757,0.0002205927,0.0003283707,0.000114503,0.0001225231,0.000005838144,0.00008166882,0.00009638671,0.002707758],"category_scores_gemma":[0.0007508452,0.0001410932,0.00008466481,0.0001250443,0.0001461609,0.00009718835,0.00003462624,0.0001404499,0.00002376695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003649898,"about_ca_system_score_gemma":0.00003857467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004457452,"about_ca_topic_score_gemma":0.0001325504,"domain_scores_codex":[0.9977615,0.0001838108,0.0007158353,0.0007560516,0.000310105,0.0002726479],"domain_scores_gemma":[0.9979575,0.0005879508,0.0005845649,0.0006383348,0.00005564138,0.0001760651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001248902,0.0003019483,0.9489473,0.000003308983,0.000119395,0.0003876259,0.02792829,6.428872e-7,0.00005220136,0.00005015374,0.001587121,0.0204971],"study_design_scores_gemma":[0.003260473,0.0001117419,0.988991,0.000222223,0.00018121,0.00006117008,0.003884236,0.000001892777,0.0001204684,0.001584423,0.001386993,0.0001942292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938396,0.0006356604,0.00188708,0.0002416202,0.0007955798,0.0004419709,0.0001694009,0.00009283821,0.001896284],"genre_scores_gemma":[0.9984708,0.00003237952,0.0002839303,0.00007569164,0.0004184327,0.00009899542,0.0002440236,0.00002358167,0.0003521587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04004362,"threshold_uncertainty_score":0.9982039,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2084928489","doi":"10.1016/j.pmedr.2015.01.004","title":"School-travel by public transit: Rethinking active transportation","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of British Columbia; Simon Fraser University; British Columbia Centre of Excellence for Women's Health","funders":"Canadian Institutes of Health Research; U.S. Public Health Service; Health Canada; Canadian HIV Trials Network, Canadian Institutes of Health Research; Michael Smith Health Research BC; Heart and Stroke Foundation of Canada","keywords":"Public transport; Transit (satellite); Transport engineering; Travel behavior; Business; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05582865677721444,"gpt":0.3354072330117431,"spread":0.2795785762345287,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00271051,0.0001982946,0.0003792132,0.0001053667,0.0003161796,0.00003791579,0.0001919285,0.0001594951,0.0006452859],"category_scores_gemma":[0.0007890831,0.0001720175,0.0001135039,0.0005295865,0.0005422896,0.0008637743,0.000004775475,0.0003302546,0.000006703292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002178601,"about_ca_system_score_gemma":0.0006563511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004925399,"about_ca_topic_score_gemma":0.005074473,"domain_scores_codex":[0.996984,0.0002564529,0.000666421,0.0005338572,0.001126878,0.0004323886],"domain_scores_gemma":[0.9980948,0.00007313831,0.0004046037,0.0002719052,0.0005351637,0.0006203804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001046732,0.000385723,0.8415422,0.00006822051,0.0001705433,0.0004725208,0.1225461,0.000002198867,0.001458624,0.001535166,0.01650947,0.0152046],"study_design_scores_gemma":[0.001816136,0.0002570562,0.8018652,0.0003507786,0.0003875934,0.00001133837,0.03373035,0.000009055964,0.002579375,0.0891263,0.06910883,0.0007579883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9045765,0.001436415,0.01016971,0.008721069,0.001267776,0.0009524535,0.0000210863,0.0002293353,0.0726257],"genre_scores_gemma":[0.9962417,0.00005050693,0.0001073144,0.000147142,0.0004185825,0.00003577556,0.0002056141,0.0000189732,0.00277441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09166523,"threshold_uncertainty_score":0.7445763,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2915001402","doi":"10.1016/j.pmedr.2019.01.016","title":"Health advice and education given to overweight patients by primary care doctors and nurses: A scoping literature review","year":2019,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":59,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of South Australia; Government of Canada","keywords":"Overweight; Medicine; Family medicine; MEDLINE; Health care; Nursing; Weight management; Body mass index; Systematic review","retraction":null,"screen_n_in":null,"score":{"opus":0.01211424016371544,"gpt":0.4247751361155523,"spread":0.4126608959518369,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001222248,0.0002064231,0.000666894,0.0001227589,0.0004326783,0.000009904053,0.00005945555,0.0001166191,0.0002037843],"category_scores_gemma":[0.0005143981,0.0001622102,0.00002696841,0.0002785338,0.00003927538,0.0003919356,0.000120381,0.0005416494,0.00002728493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002791072,"about_ca_system_score_gemma":0.0008857732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005338021,"about_ca_topic_score_gemma":0.0001364289,"domain_scores_codex":[0.9970209,0.0007576148,0.0009295654,0.0005462972,0.000365465,0.0003801831],"domain_scores_gemma":[0.9974036,0.0003293568,0.001083301,0.0003370794,0.0004400346,0.0004066145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003640695,0.0001382976,0.6454816,0.1349563,0.0000236996,0.000006407833,0.02575338,1.9754e-8,0.000009355625,0.00002691739,0.1511174,0.04245035],"study_design_scores_gemma":[0.0005688107,0.0005677235,0.3481582,0.3295426,0.00007649738,0.00002352311,0.002706479,3.069141e-7,0.000001315917,0.00008072129,0.3180824,0.0001913672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.4278786,0.5284554,0.00001188083,0.01627479,0.002720409,0.009813836,0.00002737972,0.00007518361,0.01474252],"genre_scores_gemma":[0.3020938,0.5246667,0.001374915,0.1188743,0.001736471,0.001505141,0.003043299,0.0001542669,0.04655115],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2973233,"threshold_uncertainty_score":0.661474,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3109372374","doi":"10.1016/j.pmedr.2020.101259","title":"Non-HIV chronic disease burden among transgender populations globally: A systematic review and narrative synthesis","year":2020,"lang":"en","type":"review","venue":"Preventive Medicine Reports","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":59,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Medicine; CINAHL; Disease; PsycINFO; Systematic review; MEDLINE; Population; Transgender; Gerontology; Mental health; Psychiatry; Environmental health; Psychological intervention; Pathology; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.07236554921925345,"gpt":0.4332768564641145,"spread":0.3609113072448611,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001426395,0.0009216039,0.005864359,0.0003001828,0.0003147521,0.0000378852,0.0003736974,0.0003075936,0.001294497],"category_scores_gemma":[0.001510279,0.0006724102,0.000817637,0.0007406707,0.0003636539,0.0001421109,0.0001160569,0.0006582803,0.0001255378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000476172,"about_ca_system_score_gemma":0.0008971363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098134,"about_ca_topic_score_gemma":0.000122554,"domain_scores_codex":[0.9927989,0.001590943,0.00302963,0.001302159,0.0006655419,0.0006128076],"domain_scores_gemma":[0.9946787,0.0003355431,0.00264645,0.001272521,0.0001837059,0.0008831328],"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":[0.000002537656,0.00005723159,0.0003223736,0.9696513,0.001213986,0.001346309,0.001397676,7.186386e-8,8.565226e-9,0.0001499591,0.01226579,0.01359273],"study_design_scores_gemma":[0.0002545329,0.0001233858,0.001743953,0.7807516,0.08166866,0.001231422,0.0002488631,0.000002926322,4.619581e-9,0.0004788408,0.13263,0.0008657469],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000005146364,0.9818209,0.0001569937,0.002445994,0.0009155059,0.009519851,0.0001070592,0.000103072,0.004925423],"genre_scores_gemma":[0.0003505351,0.9862436,0.00001046476,0.0001721145,0.001282569,0.003207305,0.0002628151,0.0001190101,0.008351589],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1888997,"threshold_uncertainty_score":0.9996185,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1971170565","doi":"10.1016/j.pmedr.2015.02.015","title":"A comparison of adolescent smoking initiation measures on predicting future smoking behavior","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo; Impact","funders":"","keywords":"Medicine; Logistic regression; Odds; Youth smoking; Monitoring the Future; Tobacco control; Demography; Environmental health; Youth Risk Behavior Survey; Cigarette smoking; Odds ratio; Nicotine; Nicotine dependence; Gerontology; Public health; Psychiatry; Substance abuse; Injury prevention","retraction":null,"screen_n_in":null,"score":{"opus":0.116956575028547,"gpt":0.3942555417539049,"spread":0.2772989667253579,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001571954,0.0002512745,0.0006628687,0.0003063975,0.0000855443,0.00000980843,0.00006642698,0.0001758517,0.00006606722],"category_scores_gemma":[0.0007997518,0.0002038174,0.0001262505,0.0003440679,0.0001060779,0.0001183323,0.00004067821,0.000490156,4.84818e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003198241,"about_ca_system_score_gemma":0.0001739608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006872974,"about_ca_topic_score_gemma":0.000009396496,"domain_scores_codex":[0.9965094,0.0001476386,0.001045206,0.0004244513,0.001611749,0.0002615092],"domain_scores_gemma":[0.9976088,0.00005431493,0.001006704,0.0004327866,0.0006680697,0.0002293713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001204489,0.0006013832,0.9698561,0.0001092035,0.00006492685,0.0002229286,0.003313471,0.0000183077,0.001177349,0.00002366107,0.0009030116,0.02358918],"study_design_scores_gemma":[0.001602404,0.0009099871,0.9745616,0.00220416,0.00121286,0.0003366617,0.004121738,0.00004447813,0.01370698,0.00006105255,0.001072088,0.0001660177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927312,0.0005821087,0.0008504447,0.0003309084,0.001828014,0.000834324,0.000003249179,0.0001206868,0.002719084],"genre_scores_gemma":[0.9984095,0.00001664048,0.00004838445,0.00008254255,0.001108189,0.00007736418,0.0001434838,0.00003739363,0.00007651099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02342316,"threshold_uncertainty_score":0.8311433,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3108061298","doi":"10.1016/j.pmedr.2020.101252","title":"Public perspective on the governmental response, communication and trust in the governmental decisions in mitigating COVID-19 early in the pandemic across the G7 countries","year":2020,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Pandemic; Government (linguistics); Public health; Descriptive statistics; Business; Coronavirus disease 2019 (COVID-19); Public trust; Population; Public relations; Political science; Economic growth; Environmental health; Medicine; Disease; Nursing; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.1067881575409355,"gpt":0.3988376480887911,"spread":0.2920494905478556,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01296244,0.0001178314,0.0001568479,0.00003105284,0.0008679733,0.000168274,0.0004553922,0.00005148027,0.0000824678],"category_scores_gemma":[0.02162359,0.00005321487,0.00003707025,0.0006093242,0.0009698059,0.0003463099,0.0001152252,0.0004723019,0.000002645407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297076,"about_ca_system_score_gemma":0.0002656329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00561053,"about_ca_topic_score_gemma":0.01248688,"domain_scores_codex":[0.995398,0.00242684,0.0004907838,0.0001849895,0.001236957,0.0002624305],"domain_scores_gemma":[0.9940763,0.005097371,0.0003773878,0.00031787,0.00004249806,0.00008858949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001278956,0.00004529524,0.1477345,0.0000027881,0.000009808138,0.00002567822,0.8350667,0.000002483009,0.00001995749,0.01457472,0.001754542,0.0006356745],"study_design_scores_gemma":[0.0003500338,0.00006745265,0.3419852,0.00006269513,0.000005326248,0.00002115329,0.648605,0.00003521565,0.000004164334,0.001734661,0.007082055,0.00004702618],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.807115,0.0003098402,0.00001720556,0.1776214,0.00003696749,0.0008944995,0.00001155133,0.000009594886,0.0139839],"genre_scores_gemma":[0.9891856,0.0004462667,0.000004088441,0.01017757,0.00005100537,0.00004044611,0.000004268348,0.000004777402,0.00008595043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1942507,"threshold_uncertainty_score":0.9866177,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2526954046","doi":"10.1016/j.pmedr.2016.09.010","title":"Check the score: Field validation of Street Smart Walk Score in Alberta, Canada","year":2016,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; University of Alberta; Alberta Innovates - Health Solutions; Public Health Agency of Canada; Alberta Health Services; Heart and Stroke Foundation of Canada","keywords":"Metric (unit); Population; Standard score; Psychological intervention; Spearman's rank correlation coefficient; Demography; Medicine; Geography; Statistics; Mathematics; Environmental health; Sociology; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.02155646179642997,"gpt":0.2872922052995082,"spread":0.2657357435030783,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001221856,0.00008947253,0.0002095179,0.00003482425,0.000090948,0.000003948525,0.0001526377,0.00004773429,0.000573202],"category_scores_gemma":[0.00116534,0.00004679863,0.00004344257,0.0002441834,0.0002559986,0.0001375285,0.00001954256,0.00008110661,4.073106e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001092413,"about_ca_system_score_gemma":0.0006767803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9405566,"about_ca_topic_score_gemma":0.9892082,"domain_scores_codex":[0.9984274,0.0001352974,0.0004969636,0.0002311175,0.000508491,0.0002007261],"domain_scores_gemma":[0.9988146,0.0004048505,0.00032719,0.0002717164,0.0001140376,0.00006756806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007919442,0.00002493017,0.9928024,0.00001294898,0.00001146678,0.00003371233,0.001297403,3.09019e-7,0.00009834955,0.000140332,0.001601082,0.003969084],"study_design_scores_gemma":[0.0001948232,0.00003377241,0.9853573,0.0003494672,0.00003085687,9.401506e-7,0.0006366029,5.34782e-7,0.005867324,0.00294132,0.004508503,0.00007852833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821131,0.0001169691,0.00008261717,0.008034182,0.0004798951,0.0003557263,0.000001798668,0.000007125495,0.008808567],"genre_scores_gemma":[0.9965397,0.00002590801,0.000003747195,0.00007458514,0.0001428098,0.00001625429,0.000006447315,0.000004610104,0.00318594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04865154,"threshold_uncertainty_score":0.627616,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2792165702","doi":"10.1016/j.pmedr.2018.02.016","title":"Lower limb blood flow and mean arterial pressure during standing and seated work: Implications for workplace posture recommendations","year":2018,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta; McGill University","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Medicine; Repeated measures design; Physical therapy; Forearm; Physical medicine and rehabilitation; Blood flow; Blood pressure; Sphygmomanometer; Work (physics); Lower limb; Surgery; Cardiology; Internal medicine; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01459316916313604,"gpt":0.3078581928502893,"spread":0.2932650236871532,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006503485,0.0001767662,0.0003285683,0.0001312025,0.0002763857,0.00001786395,0.00002679964,0.000102059,0.0001296969],"category_scores_gemma":[0.000702271,0.0001346021,0.00006249475,0.0002199809,0.0002572269,0.00009984287,0.00004419659,0.0001339837,4.966478e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002706344,"about_ca_system_score_gemma":0.00003724165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007917281,"about_ca_topic_score_gemma":0.00001495244,"domain_scores_codex":[0.9986611,0.00007920345,0.0004435804,0.0004471887,0.0001439969,0.0002249222],"domain_scores_gemma":[0.9987914,0.000197949,0.0002188256,0.0002955262,0.0003114491,0.0001848583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004253103,0.001553743,0.5492871,0.005902437,0.002947675,0.00007955533,0.01644773,0.000005316902,0.3628644,0.0006008722,0.01867206,0.03738591],"study_design_scores_gemma":[0.003290647,0.00166827,0.9812365,0.001916339,0.0009767278,0.0003079007,0.0005592476,0.00008110995,0.0008700999,0.00128029,0.007565009,0.0002478265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814175,0.001013912,0.002601772,0.01184583,0.0005525711,0.001853489,0.00001726641,0.00008005013,0.0006176404],"genre_scores_gemma":[0.9938039,0.0001074993,0.002165657,0.00007225148,0.0008317901,0.0001275902,0.0001230269,0.00002623457,0.002742058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4319494,"threshold_uncertainty_score":0.5488914,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3209143244","doi":"10.1016/j.pmedr.2021.101617","title":"Maternal folic acid and multivitamin supplementation: International clinical evidence with considerations for the prevention of folate-sensitive birth defects","year":2021,"lang":"en","type":"review","venue":"Preventive Medicine Reports","topic":"Folate and B Vitamins Research","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; University of Calgary","funders":"","keywords":"Multivitamin; Medicine; Pregnancy; Dosing; Randomized controlled trial; Fortified Food; Observational study; Vitamin; Food fortification; Physiology; Folic acid; Pediatrics; Obstetrics; Internal medicine; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.17800134863214,"gpt":0.4847798002526615,"spread":0.3067784516205215,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002367443,0.0003599184,0.001736031,0.0002554978,0.0001314589,0.00003420287,0.00008352689,0.0001715985,0.000255642],"category_scores_gemma":[0.003546332,0.0002031172,0.0004740959,0.0002624242,0.0005666706,0.0001573989,0.0001433921,0.0004392946,0.000001597485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009908572,"about_ca_system_score_gemma":0.0009076318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007287852,"about_ca_topic_score_gemma":0.0001088365,"domain_scores_codex":[0.9961722,0.0004904181,0.001637276,0.0006908231,0.0007455869,0.0002637141],"domain_scores_gemma":[0.9939104,0.003185538,0.001280192,0.0004748932,0.001001538,0.0001474684],"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":[0.0002536967,0.0004275999,0.01247747,0.01358271,0.005776863,0.0019488,0.0004908559,5.766668e-7,0.0000903344,0.0002550289,0.002191183,0.9625049],"study_design_scores_gemma":[0.01101452,0.01437041,0.05612485,0.3513763,0.03668286,0.03587876,0.001911308,0.000282148,0.002249563,0.0008926356,0.4877231,0.001493528],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004847896,0.9848558,0.004311981,0.0005494489,0.0005390187,0.004689515,0.00006137761,0.00002069733,0.0001243138],"genre_scores_gemma":[0.06666649,0.9288347,0.001178747,0.00004113143,0.000515601,0.0005040654,0.000319315,0.00004825613,0.001891675],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9610114,"threshold_uncertainty_score":0.828288,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3188748814","doi":"10.1016/j.pmedr.2021.101502","title":"Labor unions and health: A literature review of pathways and outcomes in the workplace","year":2021,"lang":"en","type":"review","venue":"Preventive Medicine Reports","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Overtime; Inequality; Social determinants of health; Economic inequality; Occupational safety and health; Health care; Demographic economics; Public economics; Political science; Labour economics; Economics; Economic growth; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.1191015422886334,"gpt":0.4946861086919901,"spread":0.3755845664033567,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005200991,0.0003892933,0.00345294,0.0001678411,0.0002699915,0.000004321698,0.0001061831,0.000182184,0.00005337493],"category_scores_gemma":[0.001583356,0.0001924458,0.0001753652,0.0007775909,0.0001521993,0.00004588394,0.0002631225,0.001036318,5.561212e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006891972,"about_ca_system_score_gemma":0.0004925072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001052684,"about_ca_topic_score_gemma":0.000127644,"domain_scores_codex":[0.994274,0.002537147,0.002014763,0.0004730675,0.0003627806,0.0003382415],"domain_scores_gemma":[0.9959264,0.001426357,0.001798196,0.000528891,0.0002279843,0.00009220428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001254549,0.00008358672,0.02759868,0.560994,0.0003036789,0.0006366025,0.008984557,9.885551e-10,1.622438e-8,0.001271912,0.03457578,0.36555],"study_design_scores_gemma":[0.00009745682,0.00004218959,0.004336867,0.4669107,0.0003040521,0.0001005891,0.0005782876,6.388529e-9,2.161324e-9,0.0001401694,0.5274085,0.00008112799],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001256479,0.9770623,0.000002974007,0.01806507,0.0004084258,0.003412427,0.00004500273,0.00001564272,0.000975631],"genre_scores_gemma":[0.00001146563,0.9951465,0.00002330333,0.00192901,0.0001646425,0.0006258054,0.0002324626,0.00002624465,0.001840596],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4928328,"threshold_uncertainty_score":0.7847712,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3035800846","doi":"10.1016/j.pmedr.2020.101149","title":"Testing a school-based program to promote digital health literacy and healthy lifestyle behaviours in intermediate elementary students: The Learning for Life program","year":2020,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":52,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Vancouver Coastal Health; University of British Columbia","funders":"Lawson Foundation","keywords":"Medical education; Health literacy; Mathematics education; Literacy; Psychology; Gerontology; Medicine; Pedagogy; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.05478445055578555,"gpt":0.4822296832637204,"spread":0.4274452327079348,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00337317,0.0003294172,0.0007145832,0.0001851001,0.0009794311,0.00004811124,0.0002377042,0.0001031683,0.00003327621],"category_scores_gemma":[0.005964502,0.0002437105,0.00006495057,0.000736893,0.0001192285,0.0001926582,0.0002389611,0.00121579,0.0000087603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000310237,"about_ca_system_score_gemma":0.002099904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006703213,"about_ca_topic_score_gemma":0.0001893449,"domain_scores_codex":[0.9944641,0.0005984764,0.002270845,0.0008794153,0.0005629643,0.001224187],"domain_scores_gemma":[0.9949171,0.0009025483,0.00133029,0.000375681,0.000334887,0.002139492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001506742,0.0003939784,0.6395286,0.001047965,0.00001327958,0.0000159484,0.002926109,0.00000810254,0.000002661129,0.00000648771,0.001921344,0.3539848],"study_design_scores_gemma":[0.003439181,0.008829836,0.7903206,0.003009566,0.00005614769,0.00001405159,0.002128301,0.001677326,0.000001177707,0.0001332118,0.1901055,0.0002850819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8163913,0.001319878,0.002412929,0.1251926,0.0004033265,0.05362318,0.00003365,0.0005221696,0.0001008792],"genre_scores_gemma":[0.9099302,0.0000743647,0.00382537,0.02243167,0.000766833,0.06239717,0.0003867972,0.00007472433,0.0001128162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3536997,"threshold_uncertainty_score":0.9938225,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2091849282","doi":"10.1016/j.pmedr.2015.01.003","title":"Objectively measured and self-reported sedentary time in older Canadians","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Physical Activity and Health","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Statistics Canada; Ontario Tech University; University of Lethbridge","funders":"","keywords":"Medicine; Waist; Sedentary behavior; Gerontology; Psychological intervention; Physical activity; Leisure time; Demography; Physical therapy; Body mass index; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.03605711525506117,"gpt":0.3106999404734421,"spread":0.2746428252183809,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001086269,0.0002003741,0.0006943557,0.00020879,0.0000464381,0.000005077415,0.00003284759,0.00008913392,0.00007419095],"category_scores_gemma":[0.0006023902,0.0001630692,0.00005078537,0.0003398588,0.0001269806,0.0001428247,0.00003785737,0.000328321,0.000008471328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003695688,"about_ca_system_score_gemma":0.0008176935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01623152,"about_ca_topic_score_gemma":0.002911211,"domain_scores_codex":[0.9979597,0.0001341555,0.0005411196,0.0004690442,0.0005439931,0.0003520283],"domain_scores_gemma":[0.9984626,0.00007500733,0.0002607097,0.0002857887,0.0002165051,0.0006993685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004706349,0.004899574,0.9134687,0.0005991983,0.001085941,0.02426717,0.01867817,0.000005037131,0.006410048,0.00006128874,0.01877905,0.01127525],"study_design_scores_gemma":[0.003577239,0.001084912,0.9820802,0.0008079495,0.0004801986,0.004092842,0.0006860362,0.0002407952,0.000585875,0.00268298,0.003409695,0.0002712687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815661,0.0005864291,0.00006024036,0.003293767,0.0001926535,0.0009272789,0.00000251405,0.00008865984,0.01328233],"genre_scores_gemma":[0.9970597,0.00003609475,0.0001105094,0.000449397,0.0002675995,0.00003635178,0.00003518714,0.00002335628,0.001981773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06861157,"threshold_uncertainty_score":0.9903195,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2608142853","doi":"10.1016/j.pmedr.2017.04.008","title":"Does parental support influence children's active school travel?","year":2017,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University; Vancouver Coastal Health; University of British Columbia; Vancouver Coastal Health Research Institute","funders":"","keywords":"Psychological intervention; Logistic regression; Bivariate analysis; Psychology; Demography; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.01371742511772949,"gpt":0.3316845482517821,"spread":0.3179671231340526,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001251837,0.0002093806,0.0003939047,0.00006463158,0.001377025,0.00009273498,0.0004857863,0.0001097117,0.002248473],"category_scores_gemma":[0.001563881,0.0001278757,0.0001350331,0.00009283665,0.001562989,0.001033432,0.00007672139,0.0002767738,0.0000186749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001166734,"about_ca_system_score_gemma":0.0003813347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01062636,"about_ca_topic_score_gemma":0.003259158,"domain_scores_codex":[0.9975263,0.000114895,0.0005405021,0.0006052818,0.0007716427,0.0004413747],"domain_scores_gemma":[0.9977605,0.0000487693,0.0008252038,0.0007691111,0.0002170733,0.0003793054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001883435,0.00008186507,0.9910863,0.00001088943,0.00005489217,0.0002201899,0.003110491,1.469458e-7,0.0001452372,0.00007727655,0.000397001,0.00479687],"study_design_scores_gemma":[0.0002893215,0.0000511582,0.9903402,0.0001172896,0.00009050441,0.000007570101,0.00136355,2.305185e-7,0.0009769105,0.004660823,0.00190931,0.0001931085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490543,0.00005130476,0.00005496907,0.001413624,0.001025417,0.0006757858,0.00001295095,0.00007065204,0.04764099],"genre_scores_gemma":[0.9924436,0.00005685358,0.00002565722,0.00007635981,0.0008125578,0.00003991867,0.00003757077,0.00001368845,0.006493839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04338925,"threshold_uncertainty_score":0.9999231,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2176342060","doi":"10.1016/j.pmedr.2015.10.006","title":"Smokers' sources of e-cigarette awareness and risk information","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Cancer Institute","keywords":"Trustworthiness; Quarter (Canadian coin); Electronic cigarette; Advertising; The Internet; Environmental health; Medicine; Psychology; Product (mathematics); Business; Social psychology; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.02950918609117904,"gpt":0.3096761895430363,"spread":0.2801670034518572,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001014436,0.0001053842,0.0002944232,0.0001518097,0.00003940918,0.000005165751,0.00002354399,0.00006962928,0.00003877685],"category_scores_gemma":[0.0007920205,0.00007814218,0.00003693399,0.0001559433,0.0001471476,0.0002090595,0.0000289519,0.000129747,4.055717e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000402957,"about_ca_system_score_gemma":0.0001065241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006383235,"about_ca_topic_score_gemma":0.000003982955,"domain_scores_codex":[0.9987125,0.00005038652,0.0004745491,0.0001357362,0.0005211006,0.0001057117],"domain_scores_gemma":[0.998729,0.00003657005,0.0005226435,0.0002175979,0.0003558986,0.0001382753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004129713,0.00002965704,0.9835572,0.00006836458,0.00005044407,0.00004207519,0.002952437,0.000002577621,0.00004444804,0.00001194647,0.0007914799,0.01240803],"study_design_scores_gemma":[0.001070639,0.0003062428,0.9895177,0.0002979898,0.0005852536,0.0004999279,0.001893351,0.00002960503,0.003311792,0.0004231259,0.001987109,0.00007727667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953681,0.000329148,0.001369986,0.0002237279,0.0003370288,0.0002845645,0.000002504553,0.00003756376,0.002047411],"genre_scores_gemma":[0.9994699,0.00008656508,0.00003796311,0.00004240679,0.00009293242,0.00001498698,0.00006524891,0.000007190992,0.0001827915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01233075,"threshold_uncertainty_score":0.3186545,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2946708457","doi":"10.1016/j.pmedr.2019.100905","title":"Risk and protective factors for transgender youths' substance use","year":2019,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Institute on Drug Abuse; Canadian Institutes of Health Research","keywords":"Transgender; Medicine; Substance use; Transgender women; Clinical psychology; Environmental health; Psychology; Family medicine; Human immunodeficiency virus (HIV); Men who have sex with men","retraction":null,"screen_n_in":null,"score":{"opus":0.0612469068040306,"gpt":0.3686542184730086,"spread":0.3074073116689779,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007468371,0.0002285411,0.0004312575,0.0001440036,0.000132844,0.00001404436,0.00006994264,0.0001361085,0.0004248937],"category_scores_gemma":[0.0003634145,0.0001771288,0.0001066337,0.000157141,0.0001542677,0.0001721686,0.00001309003,0.0002620456,0.00001628237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005671614,"about_ca_system_score_gemma":0.00005360621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006035621,"about_ca_topic_score_gemma":0.0005347937,"domain_scores_codex":[0.9980246,0.0002195263,0.0005159618,0.000604336,0.0002295103,0.0004060352],"domain_scores_gemma":[0.9983748,0.0003726431,0.0004608376,0.0004523556,0.0001635666,0.0001758644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009834739,0.00008690429,0.9788637,0.0003184662,0.0001585859,0.00003553045,0.01581164,5.085382e-7,0.0001027554,0.0005472389,0.001656702,0.002319593],"study_design_scores_gemma":[0.001168636,0.0004336506,0.9851221,0.00006059333,0.0002601947,0.000084643,0.001364404,0.00000323648,0.00005471218,0.007702217,0.003533619,0.0002119591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836268,0.001362118,0.005542049,0.0002830788,0.001800488,0.002788981,0.00004665526,0.00006238077,0.00448745],"genre_scores_gemma":[0.9838734,0.0001424896,0.00006480695,0.0000681879,0.0003193577,0.0001734019,0.00002669289,0.00003796535,0.01529369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01444724,"threshold_uncertainty_score":0.9124094,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3033655429","doi":"10.1016/j.pmedr.2020.101138","title":"Effectiveness of school-based health promotion interventions prioritized by stakeholders from health and education sectors: A systematic review and meta-analysis","year":2020,"lang":"en","type":"review","venue":"Preventive Medicine Reports","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta","funders":"Alberta Innovates; Children’s Health; Children's Hospital Foundation; Stollery Children’s Hospital Foundation; Women and Children's Health Research Institute; Children's Health Research Institute","keywords":"Psychological intervention; Meta-analysis; Medicine; Obesity; Health promotion; Systematic review; Overweight; Physical activity; Intervention (counseling); Health education; Environmental health; Gerontology; MEDLINE; Physical therapy; Public health; Internal medicine; Nursing","retraction":null,"screen_n_in":null,"score":{"opus":0.1704118752998927,"gpt":0.4331108061981296,"spread":0.2626989308982369,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.00384476,0.0007134159,0.01709119,0.0004589002,0.00008682939,0.0000193814,0.0001031271,0.0001414302,0.00009624641],"category_scores_gemma":[0.002165894,0.000483549,0.002458914,0.001308357,0.0001973486,0.0001230471,0.000096695,0.0005777901,0.000001406553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000529222,"about_ca_system_score_gemma":0.001867225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008419856,"about_ca_topic_score_gemma":0.00002392743,"domain_scores_codex":[0.9898173,0.004860153,0.003078708,0.001185689,0.0007708423,0.0002873002],"domain_scores_gemma":[0.991735,0.0008181883,0.00540766,0.0008606379,0.000359135,0.0008194149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.000006429614,0.00254774,0.0002008041,0.9341448,0.05991131,0.00001492432,0.0000431799,2.213256e-8,7.721686e-7,0.000007663753,0.00023196,0.002890413],"study_design_scores_gemma":[0.0003112432,0.0009692934,0.0004052442,0.4502575,0.5467963,0.00006171865,0.00003261013,0.000001794139,0.000001731881,0.0001258722,0.0008268779,0.0002098249],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009335519,0.9827049,0.0007830838,0.001160157,0.00008576174,0.01489691,0.0002013552,0.00005769145,0.00001672302],"genre_scores_gemma":[0.006071446,0.9884304,0.0001476532,0.0002175899,0.00006050506,0.001673836,0.003177282,0.00007041947,0.0001508573],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.486885,"threshold_uncertainty_score":0.9997616,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2955517204","doi":"10.1016/j.pmedr.2019.100946","title":"Who are the ‘super-users’ of public bike share? An analysis of public bike share members in Vancouver, BC","year":2019,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of British Columbia; British Columbia Centre of Excellence for Women's Health; Simon Fraser University","funders":"Canadian Institutes of Health Research; Simon Fraser University; Michael Smith Health Research BC","keywords":"Public transport; Injury surveillance; Bike sharing; Transport engineering; Business; Public health; Injury prevention; Internet privacy; Environmental health; Poison control; Computer security; Advertising; Computer science; Medicine; Engineering; Nursing","retraction":null,"screen_n_in":null,"score":{"opus":0.04483673684768944,"gpt":0.3244911893276759,"spread":0.2796544524799864,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005198155,0.0002291462,0.001018579,0.000650914,0.0001474369,0.00003381094,0.000596759,0.0001472469,0.005560213],"category_scores_gemma":[0.001110058,0.0001561961,0.0003323158,0.003476883,0.0006894743,0.0009281568,0.00008100692,0.0002583539,0.000001620922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001514451,"about_ca_system_score_gemma":0.0003771234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01620019,"about_ca_topic_score_gemma":0.1896763,"domain_scores_codex":[0.9957404,0.0005832744,0.001230349,0.0006698947,0.001284826,0.0004912149],"domain_scores_gemma":[0.9967157,0.0002321555,0.00122701,0.0009159669,0.0006705172,0.0002386125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007846921,0.0002289026,0.9874665,0.00008178904,0.0003327778,0.00003365045,0.009560966,0.00001174393,0.00006050649,0.0001030656,0.0005564778,0.001555738],"study_design_scores_gemma":[0.0003255558,0.00006975944,0.9646872,0.0002425841,0.0004620829,5.122069e-7,0.02859852,0.0001227068,0.00006468469,0.0004969843,0.004754737,0.0001747019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888259,0.0008820855,0.00005558769,0.001023822,0.000565067,0.0007401903,0.00004675067,0.00003849248,0.00782207],"genre_scores_gemma":[0.9974537,0.00009946088,0.00001509368,0.00005646686,0.0001029975,0.00003142778,0.0001408028,0.00001574732,0.002084266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1734761,"threshold_uncertainty_score":0.9953488,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281610224","doi":"10.1016/j.pmedr.2022.101846","title":"Extreme weather events and death based on temperature and CO2 emission – A global retrospective study in 77 low-, middle- and high-income countries from 1999 to 2018","year":2022,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa; Global Affairs Canada; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Extreme weather; Poisson regression; Demography; Heat wave; Global warming; High income countries; Climate change; Geography; Medicine; Environmental science; Developing country; Population; Economics; Biology; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.0279403252046194,"gpt":0.2935244761014048,"spread":0.2655841508967854,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008197717,0.0002129618,0.0003854709,0.00006550843,0.0002403218,0.00001534572,0.00005836703,0.00004715966,0.0007759192],"category_scores_gemma":[0.0001678398,0.0001669162,0.00001475449,0.0002404985,0.00007558712,0.00009415801,0.0003024779,0.0001925273,0.000002009647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005750968,"about_ca_system_score_gemma":0.0000221237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003856164,"about_ca_topic_score_gemma":0.0009192575,"domain_scores_codex":[0.9979403,0.0001725362,0.0003504812,0.0006432485,0.0006112111,0.0002822022],"domain_scores_gemma":[0.999208,0.00006631163,0.0001827376,0.0002436907,0.00001280561,0.0002864348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002155548,0.0001893254,0.9953233,0.00002401921,0.000009212546,0.0004464883,0.00247539,0.000009679395,0.0003416663,0.000001848402,0.0006847896,0.0002787113],"study_design_scores_gemma":[0.001426086,0.001279709,0.9941371,0.0004537776,0.00003642712,0.00004844623,0.001070361,0.00005776357,0.00003605935,0.0009681585,0.0003290762,0.0001570232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962103,0.0006020252,0.000005061221,0.001469892,0.0001874019,0.001199531,0.00007087931,0.00001773549,0.0002371969],"genre_scores_gemma":[0.998884,0.00007752644,0.00003320327,0.0005619852,0.00006304801,0.00008704119,0.00002219819,0.00001359385,0.0002573678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002936907,"threshold_uncertainty_score":0.8495771,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2290937340","doi":"10.1016/j.pmedr.2015.11.015","title":"What are the benefits and risks of using return on investment to defend public health programs?","year":2016,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Hôpital Charles-Le Moyne; McGill University Health Centre; Université de Sherbrooke","funders":"","keywords":"Return on investment; Public health; Investment (military); Public health interventions; Business; Public interest; Cost–benefit analysis; Public economics; Health benefits; Public investment; Actuarial science; Interest rate; Resource (disambiguation); Finance; Economics; Medicine; Public fund; Political science; Computer science; Production (economics); Microeconomics; Politics; Nursing","retraction":null,"screen_n_in":null,"score":{"opus":0.666839119541521,"gpt":0.4834808317934832,"spread":0.1833582877480378,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02017561,0.0001833599,0.0009233091,0.0002774541,0.0001591438,0.00004181696,0.0001240809,0.00006425058,0.0000621977],"category_scores_gemma":[0.004454591,0.0001245924,0.00007082068,0.0002134278,0.000174305,0.0003779218,0.0000837804,0.00009873554,0.00001972185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004649906,"about_ca_system_score_gemma":0.0001575868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007584327,"about_ca_topic_score_gemma":0.000217028,"domain_scores_codex":[0.9952087,0.0004148193,0.003224423,0.0005822292,0.0001828615,0.0003870093],"domain_scores_gemma":[0.9940149,0.0005261239,0.004374309,0.0006269641,0.0001198134,0.0003378533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001688314,0.0002370766,0.9151473,0.0004517095,0.0002144386,0.000008939799,0.007824223,0.0000174909,0.00001010364,0.02760746,0.00513993,0.04332444],"study_design_scores_gemma":[0.00243255,0.001943083,0.7727582,0.0132421,0.00005812035,0.0002765354,0.01871358,0.0003552637,0.00007974104,0.04456634,0.1446431,0.0009313998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8199406,0.01124674,0.001098102,0.1647162,0.0008987774,0.001680907,0.00002417714,0.00002205112,0.0003724879],"genre_scores_gemma":[0.9884608,0.0008756861,0.0004037588,0.009562624,0.0002735114,0.0001179104,0.000008206549,0.00002623187,0.0002712662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1685202,"threshold_uncertainty_score":0.6992505,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3149453717","doi":"10.1016/j.pmedr.2021.101365","title":"Physical activity participation among Arab immigrants and refugees in Western societies: A scoping review","year":2021,"lang":"en","type":"review","venue":"Preventive Medicine Reports","topic":"Physical Activity and Health","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McMaster University","funders":"","keywords":"Functional illiteracy; Facilitator; Refugee; Psychosocial; Immigration; Mainstream; Language barrier; Psychological intervention; Stakeholder; Medicine; Political science; Gerontology; Environmental health; Psychology; Nursing; Public relations; Social psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.1003918293856527,"gpt":0.4710525835307177,"spread":0.3706607541450651,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001166294,0.0005341688,0.00567686,0.0001466111,0.0000777941,0.00001261649,0.00006123676,0.0002127641,0.00003040762],"category_scores_gemma":[0.001085999,0.0003890499,0.0004893793,0.000572111,0.0003032277,0.0002174641,0.0001384987,0.001013044,0.000003621931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002405604,"about_ca_system_score_gemma":0.0007280025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001582657,"about_ca_topic_score_gemma":0.0001106988,"domain_scores_codex":[0.9961781,0.0006553221,0.0011173,0.0009474613,0.0006403638,0.0004614719],"domain_scores_gemma":[0.9971849,0.0005145176,0.001309786,0.0005649348,0.000124003,0.0003018955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000009225273,0.001083728,0.001503348,0.3731214,0.0002037324,0.0008625103,0.0004079277,3.7177e-8,0.000003656159,0.000003288465,0.0002916012,0.6225096],"study_design_scores_gemma":[0.0003704802,0.0003165273,0.006307138,0.9705265,0.00271981,0.0003543072,0.00001803577,0.000005927042,0.000009084514,0.00006561383,0.01898381,0.0003227987],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03209667,0.9636179,0.00003572367,0.0003963542,0.0001369994,0.003481609,0.000003920844,0.00004239624,0.0001884242],"genre_scores_gemma":[0.007469078,0.9906695,0.00001017051,0.0001216671,0.0004852886,0.0006087552,0.0001003591,0.00004992153,0.0004852259],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6221868,"threshold_uncertainty_score":0.9998561,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2793997825","doi":"10.1016/j.pmedr.2018.03.008","title":"Impact of new rapid transit on physical activity: A meta-analysis","year":2018,"lang":"en","type":"review","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Michael Smith Health Research BC","keywords":"Physical activity; Transit (satellite); Medicine; Transport engineering; Physical medicine and rehabilitation; Engineering; Public transport","retraction":null,"screen_n_in":null,"score":{"opus":0.2301499085475571,"gpt":0.4866491227776132,"spread":0.2564992142300561,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002302297,0.0006020566,0.00721322,0.0004849433,0.0001545659,0.00001921714,0.0003666568,0.000266409,0.003735802],"category_scores_gemma":[0.0003591303,0.000345506,0.01075748,0.002175204,0.0007758069,0.0001806416,0.00002630725,0.0004285875,0.000008673246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002108718,"about_ca_system_score_gemma":0.001453434,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007406282,"about_ca_topic_score_gemma":0.0006370413,"domain_scores_codex":[0.9953108,0.0008783205,0.001074001,0.001006906,0.001293209,0.0004368099],"domain_scores_gemma":[0.9958516,0.0004266616,0.002134548,0.0009776221,0.0002305206,0.0003790597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0000332767,0.00110248,0.001099855,0.002389509,0.3175084,0.0002369767,0.004958848,0.000001109714,5.929734e-7,0.00003115282,0.002026522,0.6706113],"study_design_scores_gemma":[0.0001087664,0.000394812,0.002851825,0.0008540242,0.6890858,0.000003286928,0.00003113177,7.624633e-7,0.000002599713,0.0005538896,0.3057311,0.0003820377],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001788428,0.9876477,0.0004128412,0.00008576609,0.0002206366,0.001448952,0.00004323604,0.00005608346,0.00829632],"genre_scores_gemma":[0.0778736,0.9118816,0.00002194461,0.000007538083,0.001627709,0.00008166492,0.0001200115,0.00004952286,0.008336446],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6702292,"threshold_uncertainty_score":0.9998997,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4223572260","doi":"10.1016/j.pmedr.2022.101789","title":"Avoidance of primary healthcare among transgender and non-binary people in Canada during the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"St. Michael's Hospital; Western University; TransCanada (Canada)","funders":"","keywords":"Mental health; Odds ratio; Medicine; Odds; Transgender; Logistic regression; Health care; Confounding; Family medicine; Demography; Psychiatry; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.03839184116626225,"gpt":0.3392815189215277,"spread":0.3008896777552655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001379578,0.0001521232,0.0004327499,0.0001394175,0.0003099173,0.000002258175,0.0001452517,0.00004050485,0.0004580019],"category_scores_gemma":[0.0001081328,0.0001238149,0.00004361037,0.0003650143,0.000153539,0.00004671617,0.00010311,0.0005124444,2.777735e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109996,"about_ca_system_score_gemma":0.001949262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9722109,"about_ca_topic_score_gemma":0.9362383,"domain_scores_codex":[0.9974417,0.0006139873,0.0007360125,0.0004028959,0.0004352728,0.0003701192],"domain_scores_gemma":[0.9986228,0.0002465403,0.0004626658,0.0004179019,0.00003850866,0.0002115335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005956414,0.00005033257,0.9803478,0.001439933,0.00003374896,0.0006738877,0.0143905,0.00003284332,0.00007029071,0.0000155911,0.002499289,0.0003862244],"study_design_scores_gemma":[0.0007321251,0.00009713219,0.9925438,0.00002961407,0.00003749443,0.0009081241,0.004422946,0.00000484471,0.000001395255,0.0003576546,0.0007609068,0.0001040315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848582,0.00647073,0.00002039702,0.00524655,0.0008487976,0.0007592491,0.00002396929,0.00001478037,0.001757313],"genre_scores_gemma":[0.9958816,0.0004516342,0.000002112675,0.001062804,0.000127942,0.0001957886,0.00002239012,0.00001911127,0.002236675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03597262,"threshold_uncertainty_score":0.5049027,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2922333590","doi":"10.1016/j.pmedr.2019.100846","title":"Urban young women's preferences for intervention strategies to promote physical and mental health preconception: A Healthy Life Trajectories Initiative (HeLTI)","year":2019,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Adolescent Sexual and Reproductive Health","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Lunenfeld-Tanenbaum Research Institute; Sinai Health System","funders":"Medical Research Council; Department of Science and Technology, Ministry of Science and Technology, India; Canadian Institutes of Health Research; South African Medical Research Council","keywords":"Mental health; Psychological intervention; Intervention (counseling); Focus group; Socioeconomic status; Formative assessment; Qualitative research; Medicine; Psychology; Interpersonal communication; Gerontology; Nursing; Population; Environmental health; Social psychology; Psychiatry; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.08340586224558227,"gpt":0.4428520938988619,"spread":0.3594462316532796,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002120703,0.0003254845,0.0008771887,0.0001526237,0.0006461457,0.00001453598,0.00008934474,0.00009945235,0.0002058265],"category_scores_gemma":[0.0004296988,0.000238033,0.00007769572,0.0002472501,0.0001834818,0.0004345949,0.0001181295,0.0004856174,0.00001781695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004723457,"about_ca_system_score_gemma":0.0008946657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002232273,"about_ca_topic_score_gemma":0.0001114671,"domain_scores_codex":[0.9959541,0.0007642204,0.001149485,0.0009383648,0.0004205377,0.0007733078],"domain_scores_gemma":[0.9975032,0.0001715443,0.00109307,0.000322524,0.0003643286,0.0005453569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001617077,0.001224465,0.4393768,0.007886169,0.0002860183,0.00000615834,0.5238834,0.000002628181,0.000491403,0.001523856,0.01256663,0.01113544],"study_design_scores_gemma":[0.003503541,0.0134177,0.6938965,0.003869284,0.00004388937,0.00003732988,0.2593479,0.00005415661,0.00005544148,0.008008949,0.01722421,0.0005410956],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979696,0.0008840464,0.00150131,0.005676638,0.002777543,0.00846856,0.00004341818,0.0001177527,0.0008346754],"genre_scores_gemma":[0.9935741,0.0001000276,0.0001721439,0.0007889803,0.001532945,0.001258009,0.0001282309,0.00003540232,0.002410093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2645355,"threshold_uncertainty_score":0.9706705,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2964711986","doi":"10.1016/j.pmedr.2019.100966","title":"Baseline assessment of noticing e-cigarette health warnings among youth and young adults in the United States, Canada and England, and associations with harm perceptions, nicotine awareness and warning recall","year":2019,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research; Public Health Agency of Canada; National Institutes of Health; National Cancer Institute; Center for Tobacco Products; Public Health Agency","keywords":"Harm; Recall; Environmental health; Baseline (sea); Young adult; Medicine; Perception; Harm reduction; Demography; Psychology; Gerontology; Public health; Political science; Social psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.01481672624838545,"gpt":0.2934785255822849,"spread":0.2786617993338995,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002185484,0.0001665876,0.0004435193,0.0001658585,0.0001283027,0.0000135533,0.00002316001,0.00004944949,0.0000100178],"category_scores_gemma":[0.0002581018,0.0001088445,0.00001155568,0.0002509292,0.0001157788,0.00007100272,0.00003230438,0.0003275396,5.232212e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391031,"about_ca_system_score_gemma":0.0002483162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3873344,"about_ca_topic_score_gemma":0.09189497,"domain_scores_codex":[0.998209,0.0002578224,0.0005255741,0.0003387662,0.0004781028,0.0001907253],"domain_scores_gemma":[0.998749,0.0002362922,0.0005373382,0.0001664596,0.0001965266,0.0001144136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003382853,0.00003565941,0.9698706,0.0002002585,0.00003704118,0.00003365815,0.02835865,0.00001583382,0.0000366455,0.000002076046,0.00001670652,0.001359042],"study_design_scores_gemma":[0.002072935,0.0003886132,0.9773842,0.002006119,0.0002300325,0.0001945456,0.01536889,0.002202201,0.00001296343,0.000004303904,0.00003272419,0.0001025084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976298,0.0002879519,0.0002367224,0.001028831,0.00007851716,0.000692122,0.00001743498,0.00001286746,0.00001576765],"genre_scores_gemma":[0.9984145,0.0005000092,0.00005227927,0.0001694497,0.00003690141,0.00001727139,0.0007436852,0.00001575583,0.00005015975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2954395,"threshold_uncertainty_score":0.9246756,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2944995589","doi":"10.1016/j.pmedr.2019.100898","title":"Canadian medical students' perceived motivation, confidence and frequency recommending physical activity","year":2019,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Physical Activity and Health","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Hamilton Health Sciences; Ottawa Hospital; McMaster University; Queen's University; McGill University; University of Ottawa; Canadian Medical Association","funders":"","keywords":"Physical activity; Curriculum; Medicine; Confidence interval; Psychology; Family medicine; Medical education; Physical therapy; Internal medicine; Pedagogy","retraction":null,"screen_n_in":null,"score":{"opus":0.02938044539444487,"gpt":0.3557954955348655,"spread":0.3264150501404206,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009578398,0.0002206834,0.0007315913,0.0001578134,0.000130995,0.00001602916,0.0001139001,0.0001268245,0.001223897],"category_scores_gemma":[0.00147414,0.0001737557,0.00007593716,0.000226617,0.0001789055,0.0002321358,0.0000844919,0.00064758,0.00002965938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003506359,"about_ca_system_score_gemma":0.0008279042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04289814,"about_ca_topic_score_gemma":0.003531132,"domain_scores_codex":[0.9972892,0.0001443545,0.000321053,0.0005615263,0.001267768,0.0004160829],"domain_scores_gemma":[0.9977718,0.0003452952,0.0002169185,0.0003618448,0.0001760327,0.00112811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005463988,0.0009557132,0.9720144,0.0003144071,0.000169857,0.000782744,0.002110699,1.833158e-7,0.0107223,0.0008283585,0.0008858229,0.01116084],"study_design_scores_gemma":[0.0009663184,0.0006900797,0.9921097,0.001053629,0.0001066571,0.0006436708,0.0002917207,0.0001712511,0.0003484505,0.002716214,0.0007199371,0.0001823939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785557,0.00005647404,0.0001053009,0.01286987,0.0003105972,0.0008151532,0.00000259609,0.00004795061,0.00723632],"genre_scores_gemma":[0.9974814,0.00006865635,0.0000278358,0.0008578059,0.0004609327,0.00002680345,0.0000169937,0.00002061074,0.001038945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03936701,"threshold_uncertainty_score":0.9996891,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2197315125","doi":"10.1016/j.pmedr.2015.12.008","title":"Individual, family, and neighborhood correlates of independent mobility among 7 to 11-year-olds","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Canada Research Chairs","keywords":"Intrapersonal communication; Socioeconomic status; Demography; Psychology; Odds ratio; Odds; Ordinal regression; Logistic regression; Ordered logit; Developmental psychology; Medicine; Social psychology; Interpersonal communication; Population","retraction":null,"screen_n_in":null,"score":{"opus":0.03662964824408835,"gpt":0.3212269811376749,"spread":0.2845973328935866,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003607886,0.0001552579,0.0004295617,0.0001042986,0.0001141289,0.00001884874,0.0001707513,0.0001205443,0.0001270957],"category_scores_gemma":[0.0009586301,0.0001257868,0.0000622499,0.000387151,0.0007239659,0.0002645174,0.00009834576,0.0001566615,0.000002159556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006871701,"about_ca_system_score_gemma":0.0002549136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00751425,"about_ca_topic_score_gemma":0.003009775,"domain_scores_codex":[0.997456,0.0001900971,0.0006627259,0.0004562691,0.0009526081,0.000282293],"domain_scores_gemma":[0.9984071,0.000101459,0.0003770199,0.0003252772,0.0003331255,0.0004560734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001486728,0.0001334262,0.9839314,0.00002557479,0.00003140841,0.00004432703,0.01392464,0.000001653361,0.00002407445,0.0001959245,0.0005411181,0.001131617],"study_design_scores_gemma":[0.0003351984,0.0001344268,0.9822145,0.0001268629,0.000100618,0.000002030506,0.008747815,0.000002652917,0.0000807348,0.007495333,0.0006328372,0.0001270373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855786,0.0006887274,0.0003784446,0.0002718678,0.0005589876,0.0007198411,0.000006987948,0.00004752941,0.01174901],"genre_scores_gemma":[0.9990935,0.00002136972,0.00006066895,0.00003443363,0.000156891,0.00002625432,0.00001635528,0.000009862753,0.0005806129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01351495,"threshold_uncertainty_score":0.9990948,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2220577718","doi":"10.1016/j.pmedr.2015.12.002","title":"Does activity space size influence physical activity levels of adolescents?—A GPS study of an urban environment","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of British Columbia; Simon Fraser University; British Columbia Centre of Excellence for Women's Health","funders":"Carolina Population Center, University of North Carolina at Chapel Hill; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canadian Institutes of Health Research; University of North Carolina at Chapel Hill; National Institutes of Health; Heart and Stroke Foundation of Canada","keywords":"Global Positioning System; Physical activity; Space (punctuation); Environmental health; Geography; Computer science; Medicine; Physical medicine and rehabilitation; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.03456941347356467,"gpt":0.3400500039537631,"spread":0.3054805904801984,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001908739,0.0002024949,0.0006267588,0.00005060225,0.0001102893,0.000007247428,0.0002294573,0.00006983977,0.00006194145],"category_scores_gemma":[0.0006966448,0.0001310546,0.00009196531,0.0002467879,0.0008303552,0.000583053,0.00007666063,0.0002091478,7.208754e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321329,"about_ca_system_score_gemma":0.0002128792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00692653,"about_ca_topic_score_gemma":0.0009655036,"domain_scores_codex":[0.9968755,0.0005865775,0.0004134207,0.0005431878,0.001302544,0.0002787597],"domain_scores_gemma":[0.9979337,0.0001291465,0.0008734204,0.0005800896,0.0001896026,0.0002940641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001082327,0.004688684,0.9531319,0.00006109283,0.00004897903,0.00005930954,0.03178566,0.00001125133,0.006723903,0.000008519442,0.00001091875,0.003361576],"study_design_scores_gemma":[0.0006294682,0.0005448807,0.9811586,0.0001259499,0.0001372985,6.015079e-7,0.005389244,0.000008163302,0.0108567,0.0009287978,0.00007492663,0.0001454112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979203,0.00002540587,0.000128412,0.0001379916,0.0002377384,0.0009815347,0.000007744537,0.0000320785,0.0005287779],"genre_scores_gemma":[0.9992996,0.000003318908,0.00002510111,0.000004023205,0.0002230378,0.00002002709,9.627413e-7,0.0000114301,0.0004124531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02802668,"threshold_uncertainty_score":0.9996864,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3157290898","doi":"10.1016/j.pmedr.2021.101393","title":"The relationship between walk score® and perceived walkability in ultrahigh density areas","year":2021,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Japan Society for the Promotion of Science; Canadian Institutes of Health Research","keywords":"Walkability; Correlation; Context (archaeology); Built environment; Demography; Medicine; Psychology; Geography; Physical activity; Physical therapy; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.05047144070253926,"gpt":0.3377682212207372,"spread":0.2872967805181979,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003459405,0.0001184901,0.0002823456,0.00003588701,0.0006475702,0.00003363107,0.0000971523,0.00009187173,0.00009410283],"category_scores_gemma":[0.005820534,0.00008293531,0.00006391634,0.0003994232,0.0009520013,0.000187537,0.00003450793,0.0002902909,0.000001127655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113192,"about_ca_system_score_gemma":0.0002747134,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004132163,"about_ca_topic_score_gemma":0.02186959,"domain_scores_codex":[0.9976714,0.0005775427,0.0005594809,0.0004505748,0.0004617269,0.0002792414],"domain_scores_gemma":[0.9975211,0.001561915,0.0002031008,0.0003517377,0.0002112191,0.0001509164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006156737,0.00003301783,0.992162,0.00001935283,0.00001114268,0.0001465618,0.00517221,8.820124e-8,0.00002777829,0.0003777008,0.00005367408,0.001990287],"study_design_scores_gemma":[0.0001549166,0.00001176097,0.952708,0.0001112372,0.00004846705,0.000005717403,0.00197856,4.835513e-7,0.00005224341,0.0442271,0.0006141384,0.00008734372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990667,0.0008975902,0.00008327347,0.003651591,0.0002556387,0.0003556195,0.000001467551,0.00003486287,0.004052931],"genre_scores_gemma":[0.9980525,0.00007143544,0.00002408078,0.00002580668,0.0002378843,0.00001427146,0.00002292574,0.000006049733,0.001545033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0438494,"threshold_uncertainty_score":0.9959788,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2609378280","doi":"10.1016/j.pmedr.2017.04.015","title":"What mums think matters: A mediating model of maternal perceptions of the impact of screen time on preschoolers' actual screen time","year":2017,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Mashhad University of Medical Sciences; Deakin University","keywords":"Screen time; Perception; Psychology; Developmental psychology; Mediation; Association (psychology); Psychological intervention; Cognition; Time perception; Causality (physics); Medicine; Physical activity","retraction":null,"screen_n_in":null,"score":{"opus":0.02359281582743768,"gpt":0.3299102365604614,"spread":0.3063174207330237,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001039166,0.000147923,0.0004278396,0.0001207881,0.0002436579,0.00003410861,0.0004940235,0.0001082435,0.0004493877],"category_scores_gemma":[0.001189892,0.00009304691,0.0002008981,0.0001007301,0.001027835,0.0005469073,0.0002586869,0.0001502475,0.000007523452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007037936,"about_ca_system_score_gemma":0.0002499186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002624552,"about_ca_topic_score_gemma":0.00007502676,"domain_scores_codex":[0.9981644,0.00008992814,0.0005999625,0.0002323426,0.0006896288,0.0002238059],"domain_scores_gemma":[0.9976996,0.0001138806,0.001333357,0.0005836337,0.0001888357,0.00008068504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003510362,0.0009023561,0.7487581,0.0001270189,0.001457013,0.00007002483,0.1000286,0.000577155,0.07290201,0.001490624,0.02211949,0.05121649],"study_design_scores_gemma":[0.0007956832,0.0003822811,0.9686543,0.002255715,0.0001568066,0.0000219449,0.003395223,0.001232717,0.006822844,0.01598216,0.00003055929,0.0002697966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806204,0.00004064668,0.00009535286,0.001824075,0.0001289173,0.0004624085,0.00002957787,0.00002805923,0.01677052],"genre_scores_gemma":[0.9959219,0.00004295745,0.0001453039,0.00002807619,0.00009111573,0.000003989423,0.00001490857,0.00001121184,0.003740575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2198961,"threshold_uncertainty_score":0.492048,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2425730067","doi":"10.1016/j.pmedr.2016.06.014","title":"Sedentary behavior among adults: The role of community belonging","year":2016,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Physical Activity and Health","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Lethbridge","funders":"","keywords":"Sedentary behavior; Psychological intervention; Multinomial logistic regression; Gerontology; Association (psychology); Psychology; Sedentary lifestyle; Mental health; Community health; Demography; Medicine; Physical activity; Public health; Physical therapy","retraction":null,"screen_n_in":null,"score":{"opus":0.02058814796093534,"gpt":0.3156050190154366,"spread":0.2950168710545013,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008893939,0.0001383951,0.0004717441,0.0000645926,0.000164523,0.000001621285,0.0000950828,0.00004960694,0.0001705562],"category_scores_gemma":[0.0003993921,0.00006527369,0.0001175609,0.0001582771,0.0005047876,0.0001217555,0.0001016771,0.0003669054,0.000003006601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007580423,"about_ca_system_score_gemma":0.00007463885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002449008,"about_ca_topic_score_gemma":0.000149574,"domain_scores_codex":[0.9984754,0.000238105,0.0004846113,0.0001568812,0.0004173346,0.0002276287],"domain_scores_gemma":[0.9983264,0.000371094,0.000402457,0.000593823,0.0001526557,0.000153589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001376442,0.001375875,0.8457392,0.0001608531,0.0001099384,0.0001468281,0.003281797,7.052446e-8,0.02490989,0.0001168454,0.0003292435,0.1236918],"study_design_scores_gemma":[0.0008438211,0.0007290749,0.9716579,0.001810606,0.0003035713,0.0002603735,0.002010048,0.000003877711,0.01872617,0.002735049,0.0008384516,0.00008108357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993662,0.0003043119,0.0001569171,0.002003721,0.000128657,0.0006666422,0.000004559155,0.0000388373,0.003034382],"genre_scores_gemma":[0.9991159,0.00005760813,0.00001797548,0.0001209531,0.0002239513,0.00006243113,0.00001332345,0.00001520588,0.000372667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1259186,"threshold_uncertainty_score":0.3702184,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220871630","doi":"10.1016/j.pmedr.2022.101778","title":"Muscle-building behaviors from adolescence to emerging adulthood: A prospective cohort study","year":2022,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Eating Disorders and Behaviors","field":"Psychology","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Maternal and Child Health Bureau; National Heart, Lung, and Blood Institute; Health Resources and Services Administration; National Institute of Mental Health; American Heart Association; U.S. Department of Health and Human Services","keywords":"Prospective cohort study; Cohort study; Cohort; Young adult; Early adulthood; Medicine; Psychology; Gerontology; Developmental psychology; Demography; Internal medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.015006579592568,"gpt":0.3433528298053932,"spread":0.3283462502128252,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001382457,0.0003192887,0.0005696203,0.0002697593,0.0004708617,0.00001444567,0.0002682041,0.00004492532,0.004564892],"category_scores_gemma":[0.0002089917,0.0003026519,0.0001183841,0.0007386519,0.00008001071,0.00006862749,0.0003919367,0.0005672997,0.00001529794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002247714,"about_ca_system_score_gemma":0.00005266699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005287728,"about_ca_topic_score_gemma":0.0001377877,"domain_scores_codex":[0.9960126,0.0004662314,0.0008476859,0.00126166,0.0009252156,0.0004866494],"domain_scores_gemma":[0.9982348,0.00007791222,0.0005301618,0.0008082357,0.0001440638,0.000204846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004774718,0.001944007,0.9584944,0.000004493796,0.0001153297,0.00180635,0.02669409,0.00001610921,0.001321842,0.0000202089,0.001699124,0.007836326],"study_design_scores_gemma":[0.0007603314,0.001321473,0.9588534,0.0001020506,0.0003921281,0.00008000935,0.03741407,0.000002459929,0.00003075968,0.0002385626,0.0004952084,0.0003095325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910929,0.0003412628,0.0006833613,0.000201787,0.002354552,0.003440816,0.00001306658,0.0001702415,0.00170198],"genre_scores_gemma":[0.995622,0.000001851087,0.0002027559,0.0001350045,0.0002251483,0.002372494,0.00003809436,0.00005941618,0.001343244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01071998,"threshold_uncertainty_score":0.9999425,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2193151829","doi":"10.1016/j.pmedr.2015.11.012","title":"Adherence to Canadian physical activity and sedentary behaviour guidelines among children 2 to 13 years of age","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta; University of Calgary; PolicyWise for Children & Families","funders":"Alberta Centre for Child, Family and Community Research; University of Alberta; Government of Alberta","keywords":"Screen time; Logistic regression; Physical activity; Medicine; Demography; Multivariate analysis; Sedentary lifestyle; Cross-sectional study; Gerontology; Physical therapy","retraction":null,"screen_n_in":null,"score":{"opus":0.04353873004492615,"gpt":0.3460268525189346,"spread":0.3024881224740084,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005086952,0.000235043,0.0007513427,0.0002253302,0.00003435175,0.000008270948,0.00009909541,0.00006556467,0.00002821863],"category_scores_gemma":[0.001149666,0.0002087026,0.00009406012,0.0003674163,0.0001922988,0.0001316741,0.0001908944,0.0002329332,0.000009358233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001906601,"about_ca_system_score_gemma":0.0002866919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2924775,"about_ca_topic_score_gemma":0.04970229,"domain_scores_codex":[0.9979569,0.00007778607,0.0003758518,0.0005529328,0.0006852944,0.0003512021],"domain_scores_gemma":[0.9973957,0.00005331467,0.0002083292,0.00048656,0.0004200031,0.001436094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003506325,0.001072193,0.9778696,0.00003313291,0.00009227084,0.0009771052,0.001067062,0.000005275099,0.0020914,0.000007097653,0.006295801,0.01045404],"study_design_scores_gemma":[0.0005103038,0.001263201,0.9939102,0.0004018112,0.0002665011,0.0001575037,0.0001479859,0.00001696015,0.00268072,0.0003366564,0.0001256043,0.000182574],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965138,0.00004701244,0.00003102379,0.001202185,0.0002185189,0.001166061,0.00001751168,0.00003606193,0.000767866],"genre_scores_gemma":[0.9982178,0.00000358943,0.0001921349,0.0002540251,0.000534396,0.00004151671,0.00003121816,0.00003046243,0.0006948904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2427752,"threshold_uncertainty_score":0.9676381,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3138734326","doi":"10.1016/j.pmedr.2021.101363","title":"Smoking cessation or initiation: The paradox of vaping","year":2021,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University; Saint Mary's University","funders":"","keywords":"Legalization; Unintended consequences; Smoking cessation; Addiction; Action (physics); Medicine; Young adult; Tobacco control; Environmental health; Psychology; Psychiatry; Public health; Gerontology; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.06337153268463741,"gpt":0.3544261300474303,"spread":0.2910545973627929,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008298574,0.0001075473,0.0002873534,0.00007534643,0.00008877365,0.000007056718,0.00003557514,0.00006234407,0.0008392688],"category_scores_gemma":[0.001052139,0.00006396373,0.00007641282,0.0004319976,0.0001041877,0.00008941966,0.00003150909,0.0001675887,3.805231e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007505916,"about_ca_system_score_gemma":0.0002290731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004215755,"about_ca_topic_score_gemma":0.000007354233,"domain_scores_codex":[0.9983596,0.0001079464,0.0005822462,0.000233721,0.0005901148,0.0001264323],"domain_scores_gemma":[0.9985043,0.0001575215,0.0004719789,0.0003712027,0.00044599,0.00004899162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005992621,0.0001549163,0.9706838,0.0002069182,0.0001436116,0.001223741,0.003207229,0.000008590784,0.005386117,0.0002902033,0.0008500555,0.01778492],"study_design_scores_gemma":[0.0008318835,0.0001476655,0.9596602,0.001085695,0.0006773378,0.002007868,0.00192307,0.00002422412,0.03087481,0.0009624427,0.00171598,0.00008879876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862355,0.0005630478,0.003340089,0.002166045,0.0007181122,0.0003204597,9.744764e-7,0.00003992697,0.006615837],"genre_scores_gemma":[0.9982215,0.00009295766,0.00005858074,0.0001936905,0.0003229266,0.00003078086,0.00009216813,0.0000134559,0.0009739975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02548869,"threshold_uncertainty_score":0.9189404,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}