{"id":"W3088265926","doi":"","title":"Répartition géographique des compétences en littératie des adultes au Canada selon les estimations locales [ressource électronique]","year":2007,"lang":"fr","type":"article","venue":"","topic":"Education in Diverse Contexts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Art","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":[0.000897121,0.0003765032,0.0003938779,0.004146507,0.0008838666,0.001326398,0.0006157389,0.0002580846,0.004957679],"category_scores_gemma":[0.003141868,0.0001919652,0.000460074,0.005121012,0.0005448223,0.0004645851,0.000844134,0.0002799779,0.0005878438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00585471,"about_ca_system_score_gemma":0.008632299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9489835,"about_ca_topic_score_gemma":0.9739407,"domain_scores_codex":[0.9994025,0.00006468473,0.00002659085,0.00009926666,0.0002787358,0.000128126],"domain_scores_gemma":[0.9966913,0.0004881407,0.0002823862,0.0001087171,0.002201756,0.0002275773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005853333,0.00001720723,0.9162204,0.0002288371,0.00009355339,0.0001181701,0.008629292,0.001510784,0.001391058,0.0008594317,0.002547447,0.06832515],"study_design_scores_gemma":[9.843209e-7,0.00001161605,0.9921159,0.00004772428,0.00001501738,0.00003155484,0.003692399,0.0004242607,0.0002286634,0.00007356708,0.003349686,0.000008674899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662526,0.001439915,0.003676256,0.0002393364,0.00001189072,0.00007876536,0.01131029,0.0001324277,0.0168586],"genre_scores_gemma":[0.9821577,0.001057702,0.003720173,0.0000267948,0.000005434834,0.00005653519,0.003466546,0.00002205987,0.009487096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05101651,"threshold_uncertainty_score":0.1026338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02850039714813494,"score_gpt":0.3077509835658852,"score_spread":0.2792505864177502,"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."}}