{"id":"W3023507417","doi":"10.4000/books.pressesenssib.11827","title":"Signaler et valoriser en lecture publique","year":2014,"lang":"fr","type":"book-chapter","venue":"","topic":"French Language Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"Università degli Studi di Firenze","keywords":"Mathematics","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":[0.003096854,0.001081449,0.0006479279,0.004741242,0.002022887,0.009657005,0.001208452,0.002110484,0.05368221],"category_scores_gemma":[0.008546682,0.0003720836,0.0007830838,0.003730632,0.002726486,0.007231083,0.002349637,0.004197556,0.02872366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005362022,"about_ca_system_score_gemma":0.004744445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004851806,"about_ca_topic_score_gemma":0.00654774,"domain_scores_codex":[0.9969563,0.0007412905,0.0001247047,0.0003722695,0.001610579,0.000194822],"domain_scores_gemma":[0.9966575,0.001483679,0.0002058085,0.0002481814,0.001088965,0.0003158604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004523119,0.00006091522,0.0001740793,0.0009307726,0.0000231468,0.0001080779,0.00197759,0.0003388206,0.001115364,0.0878832,0.6666486,0.2406943],"study_design_scores_gemma":[0.000003707859,0.00001731666,0.0001691177,0.0003692702,0.000007839439,0.0001450236,0.0002791272,0.0001202984,0.0002775383,0.004761116,0.993838,0.00001166277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003500991,0.2825552,0.03103138,0.05933696,0.1054309,0.0001055666,0.0005922129,0.002414755,0.5150319],"genre_scores_gemma":[0.0198929,0.08663189,0.01027029,0.00696608,0.03843074,0.0001212716,0.0004453463,0.00116223,0.8360792],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05368221,"threshold_uncertainty_score":0.1795849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02817615773819211,"score_gpt":0.3139547352184119,"score_spread":0.2857785774802198,"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."}}