{"id":"W3012405341","doi":"10.23889/ijpds.v4i2.1135","title":"ICES: Data, Discovery, Better Health","year":2020,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":128,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care","keywords":"Health care; Indigenous; Community health; Population health; Health policy; Business; Population; Medicine; Public relations; Environmental health; Political science; Economic growth; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002773377,0.000114096,0.0002073423,0.0001637835,0.001496518,0.0002356122,0.004839339,0.00004650599,0.0002216412],"category_scores_gemma":[0.001518058,0.00009381883,0.00003443323,0.0002674201,0.00007918162,0.007423012,0.001785476,0.0004640442,0.00009676474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005113112,"about_ca_system_score_gemma":0.002777626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006643177,"about_ca_topic_score_gemma":0.0003847449,"domain_scores_codex":[0.9968926,0.0001226182,0.0008643389,0.000561212,0.00108311,0.0004760643],"domain_scores_gemma":[0.9974483,0.0002894484,0.0006776858,0.0007781339,0.0004352655,0.0003711812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001375393,0.00003633258,0.2622214,0.00008804264,0.00003808666,0.000006762938,0.0008402385,0.00003191105,0.0000911022,0.006509042,0.6895135,0.04048603],"study_design_scores_gemma":[0.0008178913,0.00006918795,0.1351086,0.00007255547,0.00001031169,0.00001292533,0.0003306223,0.01050113,0.000001781166,0.001376848,0.8515471,0.000151056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04125902,0.0003950145,0.1319502,0.7922779,0.020502,0.001350425,0.01034618,0.0001493124,0.001769887],"genre_scores_gemma":[0.5482177,0.0004921366,0.03121988,0.3973192,0.009636609,0.00002390505,0.01216297,0.00004544574,0.0008822171],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5069587,"threshold_uncertainty_score":0.9998034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3364591803734862,"score_gpt":0.5670953455288539,"score_spread":0.2306361651553677,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}