{"id":"W4384297161","doi":"10.46747/cfp.6907511","title":"Tackling complexity through integration","year":2023,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Knowledge Management and Technology","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Healthcare system; Population; Population ageing; Health care; IMG; Computer science; Data science; Medicine; Economic growth; Political science; Environmental health; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01380994,0.001349784,0.0008806087,0.00345416,0.01234036,0.01959187,0.004041391,0.00446535,0.03461254],"category_scores_gemma":[0.02103239,0.0007822873,0.001318135,0.002704459,0.0203013,0.02172317,0.02335656,0.009099274,0.007223142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01420919,"about_ca_system_score_gemma":0.04148756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07515622,"about_ca_topic_score_gemma":0.09277453,"domain_scores_codex":[0.9885759,0.004854364,0.0002902755,0.001170934,0.003415518,0.001692945],"domain_scores_gemma":[0.9838584,0.004922527,0.0006837795,0.002790122,0.004275163,0.003470063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000056363,0.0001389896,0.00386445,0.0005547923,0.0001071904,0.0006098852,0.02447888,0.002020055,0.0009068092,0.5025437,0.2439827,0.2207362],"study_design_scores_gemma":[0.00001691482,0.00004855575,0.001244983,0.0009062036,0.00003917369,0.0002719813,0.0162221,0.002652385,0.0004031447,0.3652558,0.6128893,0.00004937795],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01497797,0.008693688,0.2141091,0.3257816,0.003687917,0.00037962,0.0004265431,0.003160239,0.4287834],"genre_scores_gemma":[0.5204532,0.01274794,0.2761466,0.0692049,0.002747486,0.001030656,0.001721506,0.002435915,0.1135117],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.07515622,"threshold_uncertainty_score":0.1494375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1939549232781479,"score_gpt":0.3619329118981562,"score_spread":0.1679779886200083,"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."}}