{"id":"W2184066828","doi":"10.1515/iupac.81.0001","title":"Immunological Effects of Mercury","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Oral Health Pathology and Treatment","field":"Dentistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Mercury (programming language); Immune system; Antibody; Autoimmune disease; Immunology; Autoantibody; Autoimmunity; Antigen; Immunosuppression; Chemistry; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00130596,0.001200857,0.002090544,0.002726023,0.0006092539,0.00181419,0.002095737,0.001530954,0.03165442],"category_scores_gemma":[0.01141883,0.0003959829,0.002266767,0.005474981,0.0002905013,0.0009526138,0.001669658,0.001217446,0.014582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462272,"about_ca_system_score_gemma":0.00206137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01181359,"about_ca_topic_score_gemma":0.02116324,"domain_scores_codex":[0.9980133,0.0002484233,0.0006143583,0.0004825761,0.00041334,0.00022807],"domain_scores_gemma":[0.9956257,0.001504461,0.001004218,0.0005240809,0.001133938,0.0002075105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002621913,0.0001437561,0.04542192,0.02975504,0.001195184,0.0002170821,0.0000952976,0.001349937,0.0007699847,0.001040942,0.8779328,0.03945611],"study_design_scores_gemma":[0.001233218,0.0002150845,0.1206989,0.005925222,0.001145775,0.000636954,0.0001527904,0.0007485152,0.00108206,0.002340061,0.8657269,0.00009451391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001436852,0.001169131,0.00007326761,0.0001531595,0.0000475764,0.00006397985,0.9954756,0.00007070667,0.001509715],"genre_scores_gemma":[0.005697613,0.001220176,0.0004023862,0.0003124389,0.00004402194,0.0004324537,0.9905639,0.00003681378,0.001290118],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03165442,"threshold_uncertainty_score":0.1058946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519099116830931,"score_gpt":0.4321622498122142,"score_spread":0.4169712586439049,"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."}}