{"id":"W390321784","doi":"","title":"Triple C : ?tablir une coh?rence entre cursus et ?valuation.","year":2012,"lang":"fr","type":"article","venue":"Canadian Family Physician","topic":"Social Policies and Family","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00382138,0.0008226693,0.00108254,0.001717614,0.00687462,0.006659474,0.00171658,0.004893881,0.1848],"category_scores_gemma":[0.0171997,0.0005875094,0.001251422,0.002040483,0.003380374,0.007373095,0.003086248,0.005001762,0.03734371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008470076,"about_ca_system_score_gemma":0.00794929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1135847,"about_ca_topic_score_gemma":0.1267617,"domain_scores_codex":[0.9943388,0.001483105,0.0002820375,0.0008677372,0.002177099,0.0008512076],"domain_scores_gemma":[0.9942882,0.002077557,0.0002032604,0.000650695,0.002399079,0.0003810534],"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":[0.000181763,0.00003152728,0.0005619046,0.000199321,0.00002319184,0.0003206121,0.001156456,0.0001306245,0.0005151191,0.4922401,0.4630887,0.04155072],"study_design_scores_gemma":[0.00002249992,0.00001273846,0.0005237875,0.0001929262,0.0000129822,0.0001671246,0.0007166537,0.0002165554,0.0006623922,0.03153668,0.9658919,0.00004369262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004628404,0.003082411,0.02281738,0.04936479,0.009917348,0.0002454492,0.004554353,0.001667469,0.9037224],"genre_scores_gemma":[0.1753939,0.00404661,0.02882182,0.02707328,0.003864404,0.0005954388,0.003081677,0.003535081,0.7535877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1848,"threshold_uncertainty_score":0.6182177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04929405922250506,"score_gpt":0.3033921892327808,"score_spread":0.2540981300102758,"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."}}