{"id":"W4323665810","doi":"10.33137/ic.v11i.40561","title":"Women and Social Services in Metropolitan Toronto after World War Il","year":2023,"lang":"en","type":"article","venue":"Italian Canadiana","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metropolitan area; World War II; Political science; Sociology; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001033744,0.0003148285,0.0003318656,0.001789997,0.02316169,0.005325394,0.001686262,0.002092323,0.01548946],"category_scores_gemma":[0.003666038,0.0004578946,0.0003556376,0.00460623,0.004183432,0.001303066,0.004935788,0.003438396,0.0004083865],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.175168,"about_ca_system_score_gemma":0.1858578,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959955,"about_ca_topic_score_gemma":0.9990966,"domain_scores_codex":[0.9973927,0.0002940193,0.00005516209,0.00008880184,0.0002678146,0.001901604],"domain_scores_gemma":[0.9928064,0.0003726981,0.0004636784,0.00006256751,0.001011481,0.00528309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000561756,0.0003458391,0.3427887,0.0005741576,0.0001185446,0.005216858,0.3820186,0.0007766366,0.001078378,0.07120314,0.1442301,0.05108727],"study_design_scores_gemma":[0.00003366572,0.00006877744,0.4178946,0.0003963387,0.00003505038,0.0002641966,0.4098262,0.000220156,0.0001924819,0.0007403615,0.1702672,0.00006095936],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.842841,0.005942664,0.0001005069,0.07048845,0.0007926328,0.0001442527,0.002033657,0.00003592004,0.07762083],"genre_scores_gemma":[0.9471182,0.002136395,0.0001290996,0.003408013,0.0001572992,0.00006275376,0.000370791,0.00002770602,0.04658969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.175168,"threshold_uncertainty_score":0.9566882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009279411556683968,"score_gpt":0.2329776026465664,"score_spread":0.2236981910898825,"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."}}