{"id":"W170578014","doi":"","title":"Preventing Breast Cancer: An Analysis of Canada's Regulatory Regime for Chemicals","year":2013,"lang":"en","type":"dissertation","venue":"YorkSpace (York University)","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Université de Montréal; U.S. Environmental Protection Agency","keywords":"Breast cancer; Cancer; Medicine; Oncology; Internal medicine; Cancer research","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":[],"consensus_categories":[],"category_scores_codex":[0.00691679,0.0003075383,0.0005227318,0.002891065,0.008305867,0.006048582,0.003018375,0.001970179,0.003742443],"category_scores_gemma":[0.01847863,0.0003748465,0.001135161,0.00601524,0.003005673,0.00108883,0.001846004,0.003461956,0.0001776125],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1980087,"about_ca_system_score_gemma":0.4148108,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966652,"about_ca_topic_score_gemma":0.9983587,"domain_scores_codex":[0.9788929,0.001301818,0.0003391586,0.0005918925,0.01430901,0.004565256],"domain_scores_gemma":[0.9728585,0.004340373,0.001646591,0.0004476115,0.0173416,0.003365285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000492267,0.0005749141,0.2661691,0.00180022,0.0004535372,0.001163006,0.01367479,0.005646143,0.001548854,0.3246802,0.2029418,0.1808551],"study_design_scores_gemma":[0.0001865032,0.0002277047,0.5224876,0.001966755,0.0006621843,0.0002035271,0.01890527,0.003688543,0.001168828,0.009970995,0.4403246,0.0002075213],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3114306,0.03955244,0.002075939,0.2257272,0.001106314,0.001245639,0.009403554,0.000137969,0.4093204],"genre_scores_gemma":[0.900795,0.02530323,0.002533992,0.03853543,0.000205424,0.00018965,0.002052356,0.0000614041,0.03032357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1980087,"threshold_uncertainty_score":0.9301963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00529724562937206,"score_gpt":0.2569673263323587,"score_spread":0.2516700807029867,"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."}}