{"id":"W4256463037","doi":"10.1515/iupac.79.1298","title":"Fluorosis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Fluoride Effects and Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; Chemistry; Biology; Philosophy; Linguistics","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":[0.0007120452,0.001533938,0.001360703,0.003393287,0.0005927373,0.001902474,0.001899125,0.001505889,0.08414635],"category_scores_gemma":[0.005753412,0.0004127775,0.001665187,0.00465213,0.0002397035,0.001338709,0.001333346,0.001113125,0.08201076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164183,"about_ca_system_score_gemma":0.00211747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01984677,"about_ca_topic_score_gemma":0.04239614,"domain_scores_codex":[0.9990805,0.0001282272,0.0001825242,0.0003199073,0.0001900353,0.00009865342],"domain_scores_gemma":[0.9980062,0.0004938073,0.000382299,0.0004013408,0.0005776927,0.0001387235],"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":[0.0002345481,0.00002779827,0.003797216,0.002735226,0.00009918688,0.00005665367,0.00002678517,0.0003324226,0.000178911,0.0007002192,0.9794406,0.01237042],"study_design_scores_gemma":[0.0002451926,0.00002449104,0.009144834,0.001165325,0.0001028819,0.0001877535,0.00006316302,0.0002350007,0.0002902267,0.001126363,0.9873876,0.00002715914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001773062,0.0002119375,0.00006258865,0.0000517012,0.00001879654,0.00001261906,0.9980097,0.0001483349,0.00130704],"genre_scores_gemma":[0.0005812281,0.0002314349,0.0002630374,0.00009631665,0.00001033006,0.00005808663,0.9975552,0.00003401793,0.001170291],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08414635,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006878177303117931,"score_gpt":0.3415557741533524,"score_spread":0.3346775968502345,"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."}}