{"id":"W1532597909","doi":"10.3917/agora.067.0007","title":"Des bons élèves aux bons étudiants","year":2014,"lang":"fr","type":"article","venue":"Agora débats/jeunesses","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Parks and Wilderness Society","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003886567,0.0007047561,0.0006823952,0.002632077,0.00949579,0.006715335,0.0006931802,0.002015294,0.03585588],"category_scores_gemma":[0.01351306,0.0005386242,0.0004099661,0.001918931,0.002917388,0.002679673,0.006140335,0.003335786,0.004184151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003960724,"about_ca_system_score_gemma":0.00462876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02073627,"about_ca_topic_score_gemma":0.04759644,"domain_scores_codex":[0.9940953,0.001813893,0.0002060514,0.0004447894,0.001403898,0.002035964],"domain_scores_gemma":[0.9896639,0.001517293,0.001596593,0.0003033524,0.002161572,0.004757247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009723929,0.0004291448,0.3512411,0.0009425555,0.0001025148,0.005079145,0.2461285,0.0003164826,0.005305823,0.09894152,0.05839247,0.2321483],"study_design_scores_gemma":[0.00003238105,0.0004107531,0.2667839,0.0008761776,0.00005175103,0.003049247,0.2349799,0.0001795547,0.001115614,0.01144749,0.4809781,0.00009520259],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.852239,0.00850505,0.001907779,0.0445422,0.002269564,0.0001014487,0.0006262439,0.0001235164,0.08968528],"genre_scores_gemma":[0.8796134,0.004248229,0.0009786688,0.002784787,0.0005822955,0.0001099409,0.0002947146,0.0001132026,0.1112748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03585588,"threshold_uncertainty_score":0.1199499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2044280761463495,"score_gpt":0.4377599470281757,"score_spread":0.2333318708818262,"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."}}