{"id":"W819519983","doi":"10.1044/leader.in4.17012012.38","title":"More on Toxicants","year":2012,"lang":"en","type":"article","venue":"ASHA Leader","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Business; Environmental health; Agent Orange; Smoke; Waste management; Political science; Engineering; Medicine; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001087194,0.0000996462,0.00007512665,0.00001427669,0.00005071231,0.000008825688,0.0001559989,0.00005298308,0.0153409],"category_scores_gemma":[0.00007022803,0.00007983423,0.00002835225,0.0001174442,0.0001011832,0.000216254,0.00005863895,0.0001082027,0.01841679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001189949,"about_ca_system_score_gemma":0.00000409188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001726068,"about_ca_topic_score_gemma":0.000004538213,"domain_scores_codex":[0.9990661,0.00001930608,0.00008245233,0.0001372934,0.0002500308,0.0004448737],"domain_scores_gemma":[0.9994985,0.00002371639,0.00002613795,0.0002573741,2.944459e-7,0.000193904],"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":[0.00003413749,0.0005886271,0.1935584,0.000003231386,0.00003936291,0.00001540858,0.006875599,0.00002710238,0.0994098,0.000117343,0.1751101,0.5242209],"study_design_scores_gemma":[0.000161335,0.00003708616,0.939932,0.000004462372,0.000005510056,0.00001092042,0.0002058274,0.00001856102,0.01885397,0.00003257056,0.04057886,0.000158933],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.933449,0.00003802255,0.00003332505,0.002138638,0.0006302588,0.00009749387,0.00001874788,0.00008516722,0.06350933],"genre_scores_gemma":[0.9906399,0.000001738848,0.0001809371,0.003050561,0.0001954769,0.000001546306,3.026933e-7,0.00001761206,0.005911897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7463736,"threshold_uncertainty_score":0.9855592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02310883965649571,"score_gpt":0.2684579546245326,"score_spread":0.2453491149680369,"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."}}