{"id":"W4366179118","doi":"10.3390/micro3020031","title":"Nanometals and Metal Ion Pollution from Dental Materials in Dental Environment","year":2023,"lang":"en","type":"article","venue":"Micro","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mercury (programming language); Amalgam (chemistry); Dentistry; Environmental pollution; Materials science; Environmental science; Medicine; Chemistry; Environmental protection; Computer science","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":[],"category_scores_codex":[0.0001832281,0.000117837,0.0002127205,0.000132051,0.00004104993,0.00001483443,0.00003695321,0.00005925788,0.0005250516],"category_scores_gemma":[0.00000416463,0.0001107867,0.00003428308,0.00008802262,0.0000470554,0.00006072716,0.0001486339,0.0000575743,0.0007913078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001876652,"about_ca_system_score_gemma":0.000005055896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006605871,"about_ca_topic_score_gemma":0.00004791281,"domain_scores_codex":[0.9990652,0.000045869,0.0002365854,0.0002630063,0.000159094,0.0002302213],"domain_scores_gemma":[0.999731,0.00000962053,0.00003509904,0.0001365617,8.695258e-7,0.00008683489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006340582,0.00008405006,0.03081523,0.00003861272,0.00003672708,0.0001257892,0.0001896253,0.000003630261,0.9618658,0.000008616549,0.0003113434,0.006457104],"study_design_scores_gemma":[0.00118732,0.0001198522,0.751255,0.00005271417,0.00005087567,0.00002382668,0.001251611,0.00001248459,0.2391352,0.0000408834,0.00674199,0.0001282919],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980787,0.0003701399,0.000006799484,0.0007302283,0.0001742551,0.0003525223,0.00007909328,0.00002914896,0.0001790891],"genre_scores_gemma":[0.9974264,0.0005735654,0.0001678786,0.0004121554,0.00008325358,0.00002308779,0.0003418037,0.00001733488,0.0009545575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7227307,"threshold_uncertainty_score":0.9999867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188839965341925,"score_gpt":0.2522492020124775,"score_spread":0.233365205478285,"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."}}