{"id":"W7039302434","doi":"","title":"L'influence de l'engagement de l'Ã©lÃ¨ve sur le lien entre le redoublement et le dÃ©crochage scolaire","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; School dropout; Superficial vein","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":[0.002772874,0.0002918594,0.0003411485,0.0004325393,0.002267445,0.003742817,0.0008556478,0.001094321,0.03341295],"category_scores_gemma":[0.01113688,0.0002973753,0.0005817247,0.0005433508,0.001971877,0.001259887,0.002717648,0.002010915,0.002079668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00335186,"about_ca_system_score_gemma":0.005293058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0303221,"about_ca_topic_score_gemma":0.06245683,"domain_scores_codex":[0.9960793,0.001997564,0.0001006109,0.000406264,0.0008685831,0.0005476826],"domain_scores_gemma":[0.9862301,0.006334968,0.002486805,0.0005494958,0.001816363,0.002582339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002613618,0.002701865,0.4605149,0.001671092,0.000547089,0.0008005822,0.178135,0.0008841467,0.009903213,0.04128526,0.01570474,0.2852386],"study_design_scores_gemma":[0.0001269198,0.001145691,0.7951832,0.00100243,0.0002181233,0.0001843887,0.09514487,0.0009734489,0.00188011,0.00780474,0.09624495,0.00009112872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232337,0.001390054,0.001005366,0.005267914,0.0001322829,0.00006568438,0.0001737093,0.00003264093,0.06869866],"genre_scores_gemma":[0.9741604,0.0007597447,0.000840123,0.0006705442,0.0000322604,0.0001198091,0.0001322698,0.00002191082,0.02326296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03341295,"threshold_uncertainty_score":0.1117775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002615247322728446,"score_gpt":0.1487632271679323,"score_spread":0.1461479798452039,"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."}}