{"id":"W7067567483","doi":"","title":"Microprogramme de troisième cycle en éducation (2-812-6-0), avec spécialisation en intégration pédagogique des technologies de l’information et de la communication (TIC), Programme spécialement conçu pour l'IIRCA-UNESCO","year":2003,"lang":"fr","type":"report","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Context (archaeology); Order (exchange)","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":[0.001260774,0.0008430717,0.0004538013,0.001464664,0.001812108,0.002709263,0.001913089,0.001744414,0.2042415],"category_scores_gemma":[0.0022131,0.0004885535,0.0004242118,0.001435037,0.0007590681,0.001019798,0.002089888,0.001302278,0.05476131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006712969,"about_ca_system_score_gemma":0.01742991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1704498,"about_ca_topic_score_gemma":0.2242725,"domain_scores_codex":[0.9987207,0.0001244243,0.00002687561,0.0001616369,0.0005479328,0.0004183902],"domain_scores_gemma":[0.9977964,0.0001810033,0.00006642915,0.0002374011,0.0008285641,0.0008902705],"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":[0.0007768207,0.0006427814,0.002158147,0.0003518277,0.00001328234,0.0002582879,0.0009929555,0.001228361,0.01798338,0.01789869,0.4004079,0.5572875],"study_design_scores_gemma":[0.0000873156,0.0004031922,0.01464896,0.00006593052,0.000005988127,0.000134059,0.0001832485,0.0008035387,0.008180992,0.0009040422,0.9745574,0.00002525634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04722234,0.00209982,0.04348747,0.007849174,0.002418177,0.003342082,0.008961388,0.01551756,0.8691021],"genre_scores_gemma":[0.02412459,0.0003427323,0.007002376,0.000328615,0.00008267489,0.0003359262,0.002129694,0.0005834348,0.9650699],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2042415,"threshold_uncertainty_score":0.6832558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381134831617048,"score_gpt":0.2784593383802519,"score_spread":0.2646479900640815,"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."}}