{"id":"W2027526695","doi":"10.7202/1024892ar","title":"2010, odyssée des modèles de classification diagnostique (MCD)","year":2014,"lang":"fr","type":"article","venue":"Mesure et évaluation en éducation","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Mod; Physics; Mathematics; Philosophy; Combinatorics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01570073,0.00141873,0.001104583,0.004833594,0.001647691,0.006339477,0.002729832,0.002683589,0.007142508],"category_scores_gemma":[0.04262359,0.0008787689,0.001954602,0.003464584,0.002924659,0.008692968,0.00295454,0.004568544,0.002334449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00824202,"about_ca_system_score_gemma":0.007977576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04199408,"about_ca_topic_score_gemma":0.03850071,"domain_scores_codex":[0.9921924,0.003696637,0.0007200061,0.001338823,0.001817661,0.000234402],"domain_scores_gemma":[0.9755169,0.01529136,0.00118887,0.003436589,0.004090374,0.0004759996],"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":[0.0002291467,0.0001528336,0.01068795,0.0004639445,0.0002252153,0.0001448069,0.003771312,0.03691498,0.0009054998,0.6564921,0.01369565,0.2763166],"study_design_scores_gemma":[0.00009681925,0.0001539555,0.004982496,0.000698044,0.0002587198,0.0005695471,0.001524052,0.2927818,0.00298722,0.528577,0.1672264,0.0001439546],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01641557,0.004563876,0.9365522,0.01247726,0.0003883244,0.0003730172,0.002149286,0.001511426,0.02556901],"genre_scores_gemma":[0.2086555,0.002517699,0.7719817,0.001055369,0.0001507549,0.0005504959,0.001869552,0.0002955889,0.01292341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04199408,"threshold_uncertainty_score":0.08349925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1592583250806844,"score_gpt":0.3706396040326362,"score_spread":0.2113812789519519,"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."}}