{"id":"W7037988075","doi":"","title":"Évaluation du programme d'Informatique conduisant au diplôme d'études collégiales (DEC) 420.01 au Cégep du Vieux Montréal","year":2002,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Orthoptera Research and Taxonomy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Population; Point (geometry); Power (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.03425152,0.001045812,0.0008702924,0.004829744,0.002004979,0.005576394,0.001788025,0.001190503,0.01833739],"category_scores_gemma":[0.05531129,0.000593233,0.000572385,0.00302196,0.001029923,0.001636475,0.001898732,0.0009945498,0.003251576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02191512,"about_ca_system_score_gemma":0.05756424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6061503,"about_ca_topic_score_gemma":0.4792173,"domain_scores_codex":[0.9824516,0.008455169,0.000844701,0.001528971,0.005302344,0.001417253],"domain_scores_gemma":[0.9298427,0.03026466,0.002141671,0.003352068,0.02901488,0.005384036],"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":[0.003982417,0.002878582,0.05238637,0.001167967,0.00009864697,0.0001739428,0.004051478,0.009184262,0.004441882,0.003553863,0.03911327,0.8789674],"study_design_scores_gemma":[0.005485211,0.009760295,0.598031,0.001348845,0.0006628237,0.0001501869,0.008665201,0.03805548,0.02678217,0.00190423,0.3088793,0.0002753286],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.736537,0.00332013,0.04937528,0.015488,0.0009409582,0.02362349,0.03423975,0.008135781,0.1283396],"genre_scores_gemma":[0.7112826,0.00200221,0.1001531,0.001489661,0.0002942966,0.009988644,0.0248115,0.0004928469,0.1494852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3938497,"threshold_uncertainty_score":0.7923383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03471665443062766,"score_gpt":0.2169671742242579,"score_spread":0.1822505197936303,"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."}}