{"id":"W2911356324","doi":"10.11575/prism/36125","title":"Eugenics in Comparative Perspective: Explaining Manitoba and Alberta’s Divergence on Eugenics Policy, 1910s to the 1930s","year":2019,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Medical History and Research","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Calgary","keywords":"Eugenics; Perspective (graphical); Divergence (linguistics); Environmental ethics; Sociology; Political science; Law; Philosophy; Computer science; Artificial intelligence; Linguistics","routes":{"ca_aff":false,"ca_fund":true,"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":[0.003177334,0.0003643347,0.0003989352,0.004698923,0.02470716,0.007875183,0.002203752,0.002145101,0.004783074],"category_scores_gemma":[0.003781762,0.0003228991,0.0003441108,0.006436337,0.02651432,0.001842597,0.003107342,0.003889657,0.0001279461],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2694919,"about_ca_system_score_gemma":0.1227506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939663,"about_ca_topic_score_gemma":0.9964176,"domain_scores_codex":[0.997306,0.0004961545,0.00003201284,0.0002262841,0.000535565,0.001404045],"domain_scores_gemma":[0.9977002,0.0005812721,0.0001698476,0.00008827019,0.0008991957,0.000561276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008013801,0.00004925083,0.01944822,0.00009090703,0.00002637882,0.001034732,0.1534531,0.0009046191,0.0005685904,0.7914926,0.009625562,0.02322579],"study_design_scores_gemma":[0.00003882477,0.00006572993,0.1457234,0.0008517819,0.00007541431,0.0002408204,0.2543923,0.0008496065,0.0005416062,0.05039991,0.5466807,0.0001397495],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4070543,0.0192628,0.001454706,0.04830808,0.0004855411,0.0000659235,0.0003851169,0.00005316932,0.5229303],"genre_scores_gemma":[0.9643376,0.004950066,0.0006826653,0.003659299,0.00005939082,0.00002111933,0.0001337553,0.00002786769,0.02612815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9752929,"threshold_uncertainty_score":0.8472859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1301204488695677,"score_gpt":0.3862986270674305,"score_spread":0.2561781781978628,"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."}}