{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000361089,0.0004161807,0.0009700163,0.0001497897,0.00009862758,0.000008193017,0.0003748157,0.0009491157,0.002458152],"category_scores_gemma":[0.0005785451,0.0002719245,0.000246803,0.0001175811,0.0003186267,0.00004517284,0.0002052281,0.0005862152,0.00003326903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002924152,"about_ca_system_score_gemma":0.0004136534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009742057,"about_ca_topic_score_gemma":0.0002148629,"domain_scores_codex":[0.9975131,0.0003148168,0.0006070766,0.0004880015,0.0006176079,0.0004593686],"domain_scores_gemma":[0.9978343,0.0004518384,0.0004282054,0.0009144781,0.0002490686,0.0001221637],"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":[0.0004012535,0.0007157104,0.00009163123,0.0008619732,0.0002176338,0.002011052,0.000004391834,4.060741e-8,0.00002888504,0.00003057253,0.9888474,0.006789446],"study_design_scores_gemma":[0.0019516,0.001019369,0.002240371,0.0007028447,0.0002781528,0.0001140272,0.0000043606,9.261803e-8,0.0003192741,0.0002596619,0.9928559,0.0002543103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005586388,0.006540544,0.00002559991,0.0001571208,0.002438019,0.0004435046,0.9847227,0.00005947011,0.00002667052],"genre_scores_gemma":[0.0008447849,0.002034721,0.00004658593,0.0001375653,0.0003457874,0.00003528444,0.9960806,0.00002526382,0.0004493773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01135795,"threshold_uncertainty_score":0.9999733,"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."}}