{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08308779,0.001826386,0.003727326,0.01636932,0.004174371,0.02135848,0.005802293,0.00702168,0.04084922],"category_scores_gemma":[0.2388875,0.002293949,0.00326681,0.02329121,0.01181506,0.01885918,0.02176653,0.01119575,0.02241222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0071264,"about_ca_system_score_gemma":0.03285955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02359913,"about_ca_topic_score_gemma":0.02632273,"domain_scores_codex":[0.9412345,0.02733717,0.00551807,0.00520358,0.01816932,0.002537341],"domain_scores_gemma":[0.7138042,0.1711221,0.007943139,0.06447087,0.02556742,0.01709216],"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":[0.0002842832,0.0000654031,0.003242107,0.002321393,0.0003952358,0.0002346597,0.00147682,0.0006544316,0.0004083751,0.1338963,0.6981087,0.1589123],"study_design_scores_gemma":[0.0001563307,0.00002882474,0.001908181,0.001583112,0.00007196979,0.0001461672,0.0005840121,0.001617523,0.0003595818,0.2121785,0.781283,0.00008280908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004148561,0.06815101,0.3068185,0.3205996,0.01897906,0.001343777,0.114345,0.05524138,0.1103731],"genre_scores_gemma":[0.07846635,0.06452081,0.528538,0.07353461,0.02510992,0.00382206,0.1770175,0.0150371,0.03395356],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08308779,"threshold_uncertainty_score":0.4394155,"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."}}