{"id":"W4226404934","doi":"10.46747/cfp.6712e317","title":"Abécédaire de l’intelligence artificielle dans les soins primaires","year":2021,"lang":"fr","type":"article","venue":"Canadian Family Physician","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Family Physicians of Canada; Francophone University Association","funders":"College of Family Physicians of Canada","keywords":"Humanities; Psychology; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003537683,0.0004550396,0.0004261087,0.0001977405,0.001107332,0.0005367415,0.001318495,0.0003216771,0.00004070975],"category_scores_gemma":[0.0001205864,0.0006000194,0.0002446962,0.001371905,0.0003819064,0.0004050066,0.0002227238,0.001046298,0.0007571137],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568704,"about_ca_system_score_gemma":0.01300198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2800909,"about_ca_topic_score_gemma":0.4032204,"domain_scores_codex":[0.9955525,0.0005779318,0.0005081894,0.001071833,0.000431192,0.001858355],"domain_scores_gemma":[0.9962815,0.0002082668,0.0001664094,0.001419458,0.00041549,0.001508869],"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":[0.000002028753,0.000102621,0.002347981,0.0002567843,0.00004730323,0.001647099,0.005119955,0.01006639,0.001241682,0.2469889,0.01956341,0.7126158],"study_design_scores_gemma":[0.0001015649,0.0001109653,0.02862499,0.0006133175,0.00003908803,0.00004419912,0.003872402,0.2290625,0.00270933,0.00802431,0.7259201,0.0008772197],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04040637,0.03656313,0.1519884,0.07886372,0.006076583,0.0005986208,0.0003289351,0.0003940227,0.6847802],"genre_scores_gemma":[0.8013402,0.0004854623,0.01040717,0.1479718,0.002035404,0.0000489502,0.00008673685,0.0001685314,0.03745573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7609338,"threshold_uncertainty_score":0.9996451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04579338586212688,"score_gpt":0.2837693863763325,"score_spread":0.2379760005142056,"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."}}