{"id":"W7014530780","doi":"","title":"Personnes inscrites aux services d'alphabétisation du Québec : statistiques /","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Term (time); Field (mathematics); Data collection","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":[0.001449199,0.0007093776,0.0005732805,0.004207517,0.003100049,0.002384773,0.001803077,0.001099612,0.04736286],"category_scores_gemma":[0.006001991,0.0004952833,0.0008758436,0.009771046,0.0004829662,0.0008471943,0.001030256,0.001600508,0.003942822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04666215,"about_ca_system_score_gemma":0.09525585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954576,"about_ca_topic_score_gemma":0.9969797,"domain_scores_codex":[0.998453,0.0001477,0.0001110301,0.0001419866,0.0005711652,0.0005750441],"domain_scores_gemma":[0.995725,0.0003374011,0.0004385675,0.0001347378,0.002182394,0.001181878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002788011,0.0001780558,0.1364986,0.0007919032,0.0001848005,0.000318485,0.001912602,0.0006423418,0.0001890005,0.004387389,0.735633,0.118985],"study_design_scores_gemma":[0.00009295245,0.00005028689,0.6188085,0.00106997,0.00008651092,0.0001585086,0.002517921,0.0005786851,0.0004001854,0.0003371609,0.3758322,0.00006701208],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1223377,0.01715593,0.001709278,0.0186381,0.001224581,0.001133938,0.5822948,0.001088501,0.2544172],"genre_scores_gemma":[0.3177779,0.01265497,0.003296394,0.004234673,0.0003616786,0.001348546,0.1126074,0.0004152794,0.5473031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04736286,"threshold_uncertainty_score":0.3385592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278099751569575,"score_gpt":0.2407594408663213,"score_spread":0.2279784433506256,"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."}}