{"id":"W2793589146","doi":"10.3366/cost.2018.0047","title":"Dressmakers and Seamstresses in Toronto, 1834–1861","year":2018,"lang":"en","type":"article","venue":"Costume","topic":"Fashion and Cultural Textiles","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Clothing; Variety (cybernetics); Industrial city; Population; Geography; Data source; History; Sociology; Demography; Regional science; Archaeology","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":[0.0002864772,0.0002837843,0.0002287094,0.00155246,0.006873813,0.001830152,0.0007199833,0.0004985908,0.006981581],"category_scores_gemma":[0.0009550001,0.0003821165,0.0001710485,0.004136181,0.002749631,0.0005831734,0.001998508,0.0008681539,0.000557134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03374111,"about_ca_system_score_gemma":0.01315117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9762179,"about_ca_topic_score_gemma":0.9947922,"domain_scores_codex":[0.9995498,0.0000428943,0.00001664544,0.00005383359,0.0001175083,0.0002192832],"domain_scores_gemma":[0.9993817,0.00005318777,0.0001307395,0.00002186924,0.0001374667,0.0002750721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009910246,0.00002765747,0.1462007,0.0002465062,0.0000246315,0.002543275,0.811772,0.0001508821,0.001392645,0.004517383,0.01107078,0.02195444],"study_design_scores_gemma":[0.000003274946,0.00003081094,0.6018274,0.0001310461,0.0000122738,0.0003553737,0.3010449,0.0000390134,0.0002190296,0.00007392006,0.09624257,0.00002030165],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720505,0.002860007,0.00007123822,0.00114024,0.00006976022,0.00002647605,0.001524951,0.000007894452,0.02224895],"genre_scores_gemma":[0.9625595,0.002601575,0.0001027986,0.0001636822,0.00002668937,0.00001624669,0.0007212479,0.00001095238,0.03379726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03374111,"threshold_uncertainty_score":0.24481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767710595873558,"score_gpt":0.2595941936760585,"score_spread":0.2319170877173229,"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."}}