{"id":"W6888903269","doi":"10.25318/3710026101-fra","title":"Scores moyens en littératie, numératie et résolution adaptative de problèmes, selon le plus haut niveau de scolarité, le groupe d'âge et le genre","year":2025,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Identity (music); Power (physics)","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":[0.001810835,0.001784403,0.001525471,0.003733509,0.001041329,0.002293173,0.002734247,0.001362039,0.05037632],"category_scores_gemma":[0.01970763,0.0006237669,0.001745377,0.008620098,0.0004172609,0.001278249,0.001289003,0.001960256,0.0291873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008819759,"about_ca_system_score_gemma":0.01657244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8440917,"about_ca_topic_score_gemma":0.8963665,"domain_scores_codex":[0.9984951,0.000158757,0.0001989886,0.0002834855,0.0005612355,0.0003024631],"domain_scores_gemma":[0.9894457,0.001865955,0.0006219097,0.0006487319,0.006670998,0.0007466886],"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":[0.00007748771,0.0000172259,0.004627339,0.0004491842,0.00004902007,0.000005985551,0.00003017437,0.0002155717,0.00001547363,0.0002253378,0.991415,0.002872336],"study_design_scores_gemma":[0.0008027488,0.00004479972,0.1679394,0.001396685,0.0001909393,0.00006490711,0.0006178571,0.001113372,0.0002620133,0.00121558,0.826235,0.0001166938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002332068,0.00007391565,0.00002456351,0.00008184098,0.00001541852,0.00001109315,0.9989418,0.0000668414,0.00055135],"genre_scores_gemma":[0.001407246,0.0001491729,0.0002137788,0.00006280155,0.0000102607,0.0001016426,0.9957886,0.00003825405,0.002228237],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1559083,"threshold_uncertainty_score":0.313653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008074656004838735,"score_gpt":0.2685323710935168,"score_spread":0.260457715088678,"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."}}