{"id":"W7062210796","doi":"","title":"Story of Flame Retardants: Substance Flow Analysis of PBDEs from Use to Waste","year":2015,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Material flow analysis; Stock (firearms); Human health; Human life; Risk assessment","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":[0.001329104,0.0005270143,0.0003735984,0.001405063,0.000705384,0.001898653,0.0005624975,0.001179291,0.00117983],"category_scores_gemma":[0.0008583205,0.0002957196,0.0005861243,0.001116604,0.0008671882,0.002436657,0.0006252751,0.001231146,0.0006439647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178514,"about_ca_system_score_gemma":0.001169547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006262105,"about_ca_topic_score_gemma":0.00952851,"domain_scores_codex":[0.9993241,0.00008875042,0.00002802554,0.0001131131,0.0003890202,0.00005701953],"domain_scores_gemma":[0.9995496,0.00008691924,0.00009423422,0.00002770491,0.0002068708,0.00003465688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001162383,0.0003828506,0.1522293,0.002698603,0.0002559653,0.003240322,0.004037221,0.006552395,0.2898477,0.02234131,0.01802932,0.4992227],"study_design_scores_gemma":[0.00002538411,0.00148973,0.07253157,0.0009143087,0.0002160052,0.003745087,0.004929788,0.01060554,0.5306998,0.01551382,0.3591116,0.0002173548],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8376574,0.06489901,0.04536639,0.01557607,0.00124163,0.000159807,0.002673316,0.0004960825,0.03193036],"genre_scores_gemma":[0.8408903,0.06458376,0.04978858,0.005753173,0.0005049543,0.0001185104,0.001854005,0.000315404,0.03619143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006262105,"threshold_uncertainty_score":0.01245129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01798062961773387,"score_gpt":0.2615316095345344,"score_spread":0.2435509799168006,"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."}}