{"id":"W2373073631","doi":"","title":"Health Effect Data Needs in Foreign New Chemicals Management","year":2009,"lang":"en","type":"article","venue":"The Research of Environmental Sciences","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human health; Business; Hazardous waste; Risk assessment; Test (biology); Occupational safety and health; Environmental health; Environmental planning; Risk analysis (engineering); Engineering; Medicine; Computer science; Environmental science; Waste management; Computer security; Biology","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":[0.06060289,0.0006549646,0.001196177,0.006236594,0.001926275,0.008063704,0.003291219,0.003151963,0.006450761],"category_scores_gemma":[0.05412449,0.0006537352,0.001214643,0.003909021,0.002496126,0.01305476,0.002844773,0.002971116,0.001712785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006230098,"about_ca_system_score_gemma":0.01767211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01558702,"about_ca_topic_score_gemma":0.006342656,"domain_scores_codex":[0.9794046,0.007932897,0.002828691,0.001729152,0.007113811,0.000990774],"domain_scores_gemma":[0.8803839,0.05085965,0.007423564,0.01086315,0.0479054,0.002564334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006080531,0.0004756456,0.02504902,0.002177185,0.00008348552,0.001366739,0.00242426,0.01192689,0.005977918,0.2109024,0.08858424,0.6504242],"study_design_scores_gemma":[0.0001359755,0.0004911101,0.01577488,0.001873389,0.0001954736,0.001230602,0.005084754,0.01287279,0.01156367,0.0848965,0.8656017,0.0002790188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1051251,0.04074807,0.2832515,0.3033044,0.0045212,0.002648534,0.01337188,0.004737786,0.2422916],"genre_scores_gemma":[0.4644119,0.03052415,0.3781554,0.04110132,0.00511399,0.002503435,0.02737256,0.0009174349,0.04989987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06060289,"threshold_uncertainty_score":0.3205025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07253314045176346,"score_gpt":0.3672961153619727,"score_spread":0.2947629749102092,"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."}}