{"id":"W2008871616","doi":"10.3406/oss.2005.1050","title":"Données sociales et administratives sur la population handicapée : la situation au Québec","year":2005,"lang":"en","type":"article","venue":"Santé Société et Solidarité","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Disadvantage; Population; Psychology; Disability pension; Demographic economics; Gerontology; Political science; Demography; Sociology; Economics; Medicine; Economic growth","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":[0.002022377,0.0006506956,0.0005920487,0.00906165,0.002334375,0.002460687,0.0008696956,0.0004342936,0.008997164],"category_scores_gemma":[0.006711141,0.0003169898,0.0006293434,0.02075128,0.0006563318,0.0007258913,0.0007500205,0.0009329222,0.0007339505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03141977,"about_ca_system_score_gemma":0.02930521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958603,"about_ca_topic_score_gemma":0.9953163,"domain_scores_codex":[0.9979669,0.0002842083,0.0002230307,0.0001914426,0.0009598639,0.0003744994],"domain_scores_gemma":[0.9908978,0.002252501,0.001297822,0.00028118,0.004692952,0.0005776733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001937237,0.0001187302,0.7840304,0.001234845,0.0004861017,0.0005414849,0.007007854,0.005392751,0.0008246374,0.00729729,0.06643273,0.1264395],"study_design_scores_gemma":[0.00001464911,0.0000220427,0.9198037,0.0002884188,0.000042769,0.00006795453,0.001780753,0.001242302,0.0001672218,0.0001302403,0.0763878,0.00005212367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4437856,0.01518588,0.00603941,0.004005183,0.0001756152,0.0004854321,0.4672364,0.0005223091,0.06256403],"genre_scores_gemma":[0.8058122,0.01312939,0.007140379,0.0005413909,0.000127167,0.001054194,0.1418333,0.00009932199,0.0302626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03141977,"threshold_uncertainty_score":0.2279674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05718734033385937,"score_gpt":0.3977691097161767,"score_spread":0.3405817693823174,"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."}}