{"id":"W139255492","doi":"","title":"À la recherche d'une population invisible: les femmes âgées en prison au Canada","year":2007,"lang":"fr","type":"article","venue":"Revue de droit penal et de criminologie","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Prison; Prison population; Political science; Population; Sociology; Gender studies; Criminology; Demography","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":[0.002724021,0.0005165297,0.0006898577,0.002774208,0.01159911,0.006515439,0.001464086,0.002091353,0.005030812],"category_scores_gemma":[0.01059079,0.0003938447,0.0007433939,0.003753475,0.004885051,0.002508184,0.00322784,0.003909257,0.0002790848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03454326,"about_ca_system_score_gemma":0.1038044,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9868463,"about_ca_topic_score_gemma":0.9908183,"domain_scores_codex":[0.9975135,0.0004415475,0.00008665835,0.0001972865,0.000610875,0.001150058],"domain_scores_gemma":[0.9933605,0.001578418,0.000545824,0.0001482569,0.002383659,0.001983501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004054978,0.0004884767,0.4651821,0.0008888202,0.00009774519,0.003446585,0.3442468,0.0005521303,0.002725809,0.0257982,0.02276785,0.1333999],"study_design_scores_gemma":[0.0000494109,0.0002743694,0.4675821,0.001330057,0.0001087351,0.001176347,0.4272134,0.0004716906,0.0007875983,0.001923981,0.09895175,0.0001304065],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320557,0.01077952,0.001015943,0.0380509,0.0004769733,0.0001587863,0.001261797,0.00002317772,0.01617719],"genre_scores_gemma":[0.9624239,0.01121683,0.001171103,0.005910732,0.0002532746,0.000187965,0.000354546,0.00002789521,0.01845377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03454326,"threshold_uncertainty_score":0.2506301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4289336819237305,"score_gpt":0.4843634539588128,"score_spread":0.05542977203508231,"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."}}