{"id":"W2113373263","doi":"10.1111/j.1875-595x.2006.tb00087.x","title":"Amalgam waste management","year":2006,"lang":"en","type":"article","venue":"International Dental Journal","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Incineration; Mercury (programming language); Amalgam (chemistry); Waste management; Wastewater; Environmental science; Dentistry; Medicine; Engineering; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001068226,0.00007565667,0.00005373315,0.00004673825,0.0001285168,0.00008894514,0.0002048364,0.00001555988,0.005426826],"category_scores_gemma":[0.000004066871,0.00006454407,0.00006386801,0.00006074816,0.00005817635,0.0002573231,0.0001329113,0.00008508487,0.001260422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001767033,"about_ca_system_score_gemma":0.000001809894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004490088,"about_ca_topic_score_gemma":0.00003176216,"domain_scores_codex":[0.9990829,0.00001358162,0.0001908457,0.00009430014,0.0004783729,0.0001400304],"domain_scores_gemma":[0.9997966,0.00000868973,0.0000791386,0.00004913669,0.00001023437,0.00005619266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005456649,0.0002732319,0.6301772,0.000003563761,0.0001755421,0.000453864,0.0002159346,0.002273815,0.01252932,0.005634827,0.313408,0.03480011],"study_design_scores_gemma":[0.001184048,0.00004365955,0.7753044,0.0000325266,0.00002824817,0.001268953,0.0008086806,0.0003909025,0.004242669,0.008015702,0.2084042,0.000276071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6704236,0.00002915898,0.0009023009,0.0003922193,0.0009085662,0.00004037316,0.000003725642,0.00001358854,0.3272865],"genre_scores_gemma":[0.9831344,0.00004603364,0.0008199513,0.0002823525,0.0003558844,0.000003212192,0.000006128985,0.00000608165,0.01534589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3127109,"threshold_uncertainty_score":0.9995172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007684926783287424,"score_gpt":0.2488623256375249,"score_spread":0.2411773988542375,"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."}}