{"id":"W7071994745","doi":"","title":"Une Ã©valuation qualitative dâun programme de prÃ©paration Ã  lâexamen professionnel quÃ©bÃ©cois Ã  partir de la perception des candidates infirmiÃ¨res","year":2013,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Smart Systems and Machine Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Occupational training; Professional development; Professional qualification; Context (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002171567,0.0004189004,0.0004498343,0.00006610587,0.0006438119,0.0002779304,0.0003916398,0.0001459151,0.0002540902],"category_scores_gemma":[0.00004923418,0.0003865445,0.00005558912,0.000197435,0.0003658275,0.0009079869,0.0002231388,0.0003718532,1.040773e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049364,"about_ca_system_score_gemma":0.004326704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1441903,"about_ca_topic_score_gemma":0.1502357,"domain_scores_codex":[0.9949802,0.00176636,0.0005479953,0.0005081006,0.001493559,0.0007037543],"domain_scores_gemma":[0.9978662,0.0007653989,0.0006156724,0.0002970546,0.000004983128,0.0004506581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003952465,0.0002694032,0.1198177,0.002633783,0.0005382412,0.0001140586,0.1221041,0.002406769,0.03319061,0.5162756,0.01520296,0.1870515],"study_design_scores_gemma":[0.0013875,0.0005734113,0.5140201,0.002958121,0.0001443341,0.00007244262,0.06378937,0.2426129,0.006982424,0.02223851,0.1438221,0.001398668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4887831,0.001336084,0.04771873,0.01558547,0.0008762169,0.002120393,0.0001383869,0.00009109417,0.4433506],"genre_scores_gemma":[0.8101054,0.0001388414,0.01282349,0.0004729024,0.0002426942,0.0001526323,0.00003346978,0.00007283923,0.1759577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4940371,"threshold_uncertainty_score":0.9998586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695944783812525,"score_gpt":0.2353961515527586,"score_spread":0.2184367037146333,"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."}}