{"id":"W4239566521","doi":"10.4324/9781315558202-12","title":"Gender, Fate and McGill University’s Medical Collections: e Case of Curator Maude Abbott","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Art history","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.006008142,0.0006853807,0.0005013412,0.002026287,0.04504288,0.01335101,0.003345778,0.01094138,0.02153637],"category_scores_gemma":[0.009656143,0.0007708365,0.0004529719,0.002045616,0.0337384,0.008249285,0.0123249,0.01143647,0.002833854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03130645,"about_ca_system_score_gemma":0.02480876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3145686,"about_ca_topic_score_gemma":0.5949908,"domain_scores_codex":[0.9944897,0.002053026,0.00009831096,0.0004580925,0.0009997047,0.001901179],"domain_scores_gemma":[0.9952512,0.001452101,0.0002825219,0.0002730929,0.0005867833,0.00215432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001929014,0.00002065767,0.0005624221,0.00006714414,0.00000458049,0.002988037,0.09790513,0.00002967975,0.0001246126,0.254897,0.6284612,0.01492023],"study_design_scores_gemma":[0.000003459575,0.000005896469,0.0003288803,0.0001733357,0.00000212304,0.0006399769,0.01836038,0.00001103844,0.00004639024,0.003110079,0.9773018,0.00001674278],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02062744,0.05058664,0.0007840327,0.5099846,0.009140507,0.00005649608,0.0001265263,0.0001633384,0.4085304],"genre_scores_gemma":[0.3038498,0.01524697,0.001005904,0.2176763,0.003829243,0.000121878,0.00006159702,0.0005082593,0.4577001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9549571,"threshold_uncertainty_score":0.6254753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05788184052482838,"score_gpt":0.2213946943577623,"score_spread":0.163512853832934,"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."}}