{"id":"W2755836985","doi":"10.7202/1041005ar","title":"Effets du Réseau d’enseignement prioritaire à Genève : comment mesurer les effets d’un dispositif implanté en plusieurs phases ?","year":2017,"lang":"fr","type":"article","venue":"Mesure et évaluation en éducation","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Physics; Philosophy","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":[0.004628338,0.000454873,0.0008634284,0.0005199641,0.0005051268,0.0009115261,0.0006815497,0.00142008,0.008130663],"category_scores_gemma":[0.0176091,0.0002425642,0.001084502,0.0004361707,0.00113337,0.001316039,0.0008098435,0.001309717,0.0006973639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052298,"about_ca_system_score_gemma":0.001445918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002661137,"about_ca_topic_score_gemma":0.004284478,"domain_scores_codex":[0.9972727,0.001121797,0.0002298683,0.0004216016,0.0007436045,0.000210346],"domain_scores_gemma":[0.9884523,0.008410981,0.001018934,0.000638716,0.0009493489,0.0005297955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.05412629,0.01219035,0.05642143,0.007694641,0.001409318,0.0005264509,0.01278865,0.001716412,0.04341885,0.004268364,0.002398282,0.8030409],"study_design_scores_gemma":[0.004192066,0.2496138,0.5667984,0.005597137,0.004654051,0.0008861884,0.01660237,0.002243297,0.07129197,0.006902337,0.07086448,0.0003539315],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986806,0.004725979,0.002144327,0.001094928,0.0002766296,0.0005217238,0.0002290151,0.00005140352,0.004149927],"genre_scores_gemma":[0.9819115,0.003202532,0.004617409,0.0004665353,0.00010529,0.001822099,0.0001984776,0.00003257208,0.007643418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008130663,"threshold_uncertainty_score":0.0271998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1386170702715102,"score_gpt":0.4633789060779824,"score_spread":0.3247618358064722,"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."}}