{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"88fb8f044821","filters":{"venue":"Journal of Addiction Medicine and Therapeutic Science"}},"results":[{"id":"W2416132517","doi":"10.17352/2455-3484.000008","title":"Buprenorphine Maintenance for Opioid Dependence in Public Sector Healthcare: Benefits and Barriers","year":2015,"lang":"en","type":"article","venue":"Journal of Addiction Medicine and Therapeutic Science","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Institute on Drug Abuse; National Institutes of Health; York University","keywords":"Buprenorphine; Medicine; Health care; Public sector; Population; Public health; Private sector; Business; Family medicine; Nursing; Opioid; Environmental health; Economic growth; Political science","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.06290292302002884,"gpt":0.3191041404253128,"spread":0.256201217405284,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009367534,0.0001188922,0.0002648727,0.0005819081,0.001290437,0.002582465,0.0007332545,0.0008832613,0.005280002],"category_scores_gemma":[0.02657624,0.0001878863,0.0003435366,0.001175888,0.001174726,0.002577712,0.002236149,0.001304658,0.0002244818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003772747,"about_ca_system_score_gemma":0.01399522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01695643,"about_ca_topic_score_gemma":0.03368369,"domain_scores_codex":[0.9937828,0.003015139,0.0006125844,0.0002893693,0.001218661,0.001081403],"domain_scores_gemma":[0.9736235,0.01544534,0.005593389,0.0005174147,0.00204104,0.002779457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000318705,0.0007340481,0.4228545,0.00810602,0.0002301166,0.000985481,0.02019733,0.0004240044,0.001073708,0.03062593,0.02588828,0.4885618],"study_design_scores_gemma":[0.0001729568,0.0008116486,0.6988987,0.03148732,0.0003703596,0.002764166,0.1258215,0.001216388,0.0009723527,0.01919578,0.1182099,0.00007883343],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5845146,0.07408709,0.001067429,0.3097335,0.000414571,0.0002133484,0.0004128214,0.00002442875,0.02953215],"genre_scores_gemma":[0.9746708,0.01655309,0.000642281,0.007173866,0.0001813651,0.00007446451,0.00006763797,0.000005818989,0.0006305884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01695643,"threshold_uncertainty_score":0.04954088,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3047933690","doi":"10.17352/2455-3484.000039","title":"Use of secondary data analyses in research: Pros and Cons","year":2020,"lang":"en","type":"article","venue":"Journal of Addiction Medicine and Therapeutic Science","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"cons; Data science; Psychology; Computer science; Programming language","authors":[{"name":"Pederson LL","is_ca":true},{"name":"Evelyn Vingilis","is_ca":true},{"name":"Wickens CM","is_ca":true},{"name":"John J. Koval","is_ca":true},{"name":"M. Lo Re","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.7556137888782425,"gpt":0.5739108446634832,"spread":0.1817029442147593,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6913677,0.002612459,0.01013146,0.01462251,0.003241286,0.01540833,0.00671768,0.01027419,0.005211496],"category_scores_gemma":[0.7431552,0.002724226,0.007246785,0.0241592,0.0236299,0.01778699,0.01087967,0.009671436,0.001772349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007289927,"about_ca_system_score_gemma":0.01494842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001847293,"about_ca_topic_score_gemma":0.002404289,"domain_scores_codex":[0.1366266,0.7756745,0.02827731,0.01174931,0.04667998,0.0009923215],"domain_scores_gemma":[0.0399857,0.8805024,0.0237263,0.03162276,0.02287848,0.001284451],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002829424,0.0004316569,0.03593582,0.07721462,0.01265923,0.0004412902,0.01263341,0.001578291,0.0004711553,0.247317,0.03151936,0.5769687],"study_design_scores_gemma":[0.001434366,0.002620735,0.02447713,0.1749271,0.007468555,0.003187059,0.007641654,0.009238698,0.002450026,0.5261089,0.2398122,0.0006336712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01460309,0.4078823,0.4114487,0.1029329,0.01326528,0.009751588,0.004618402,0.0006800035,0.03481778],"genre_scores_gemma":[0.2816351,0.1588251,0.4549763,0.05247839,0.02519452,0.02248994,0.001355543,0.0008645978,0.002180359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3086323,"threshold_uncertainty_score":0.3805985,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4283820530","doi":"10.17352/2455-3484.000054","title":"Analysis of secondary data: Considerations revisited","year":2022,"lang":"en","type":"article","venue":"Journal of Addiction Medicine and Therapeutic Science","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centre for Family Medicine; Western University","funders":"","keywords":"Data science; Psychology; Computer science","authors":[{"name":"Pederson Linda L","is_ca":true},{"name":"Koval John J","is_ca":true},{"name":"Vingilis Evelyn","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09759848025889946,"gpt":0.4081434796598399,"spread":0.3105449994009404,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7701012,0.002563346,0.007359792,0.01220245,0.004169886,0.01618653,0.008527873,0.01175333,0.004843493],"category_scores_gemma":[0.8483437,0.002792542,0.00706536,0.01548156,0.02697995,0.01575842,0.00935932,0.02096859,0.001705924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009208813,"about_ca_system_score_gemma":0.02468476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01040896,"about_ca_topic_score_gemma":0.01016668,"domain_scores_codex":[0.1032475,0.8052195,0.03843079,0.01001845,0.04187738,0.001206391],"domain_scores_gemma":[0.05215203,0.8650488,0.01342853,0.0284467,0.03972492,0.001199087],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001485199,0.0002389176,0.02331559,0.02164228,0.005514694,0.001889147,0.02378221,0.001824761,0.0006993227,0.4466496,0.129859,0.3430993],"study_design_scores_gemma":[0.0007328038,0.001023969,0.01598647,0.06164013,0.002064816,0.004043528,0.009890419,0.01172539,0.002398474,0.5519588,0.3380054,0.0005297962],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006011336,0.04721542,0.5998323,0.3055753,0.01948265,0.005799321,0.002097446,0.0004247268,0.01356147],"genre_scores_gemma":[0.161072,0.02994216,0.5292412,0.22241,0.03097423,0.0186726,0.001272353,0.001271928,0.005143588],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2298988,"threshold_uncertainty_score":0.2835062,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3027463528","doi":"10.17352/2455-3484.000032","title":"What proportion of ever smokers quit? Analysis of information from CAMH from 1996-2016","year":2020,"lang":"en","type":"article","venue":"Journal of Addiction Medicine and Therapeutic Science","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Demography; Medicine","authors":[{"name":"Pederson LL","is_ca":false},{"name":"Ján Kovaĺ","is_ca":false},{"name":"Ialomiteanu AR","is_ca":false},{"name":"Michael Chaiton","is_ca":false},{"name":"M. Lo Re","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07011086352956229,"gpt":0.3950636011089084,"spread":0.3249527375793461,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008427977,0.0002008637,0.0003231757,0.002179632,0.0006154443,0.0008177182,0.0008375096,0.000342934,0.001920901],"category_scores_gemma":[0.003574901,0.0002833871,0.0005272409,0.005887439,0.0002594925,0.000480008,0.0005853776,0.0003475425,0.0005379056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006477103,"about_ca_system_score_gemma":0.006021969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9399616,"about_ca_topic_score_gemma":0.9641432,"domain_scores_codex":[0.9989845,0.0000900771,0.0001264337,0.0001201194,0.0004533828,0.0002253701],"domain_scores_gemma":[0.9974465,0.0002201997,0.001001438,0.00009863166,0.0009683831,0.0002648638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006179953,0.000007527166,0.9959983,0.00006389006,0.00003483033,0.00003197272,0.0004186555,0.00002998753,0.00007510993,0.0000184142,0.0009119871,0.002347623],"study_design_scores_gemma":[0.000001808207,0.000005918658,0.9988795,0.00001559234,0.00001037977,0.00001439111,0.0002884438,0.00003501714,0.00001599544,0.00000202447,0.0007293736,0.00000154164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428346,0.001883853,0.0001027517,0.0003930613,0.00001260068,0.00006009629,0.05148805,0.00001375806,0.003211218],"genre_scores_gemma":[0.9694151,0.001545715,0.0001411734,0.0001273215,0.00001729522,0.00006030208,0.02619809,0.000009132184,0.002485747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06003845,"threshold_uncertainty_score":0.120784,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}