{"id":"W4252226506","doi":"10.1515/iupac.79.0994","title":"Chemesthesis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Medical History and Innovations","field":"Arts and Humanities","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; Philosophy; Biology; 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":[0.001450465,0.002183031,0.001913168,0.004771493,0.001053001,0.003893985,0.003775523,0.002332849,0.182959],"category_scores_gemma":[0.01117058,0.0007969771,0.001794239,0.007935798,0.0005589875,0.002557998,0.003279479,0.002249605,0.2570177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607884,"about_ca_system_score_gemma":0.003659944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01162049,"about_ca_topic_score_gemma":0.03165268,"domain_scores_codex":[0.9982375,0.0003603332,0.0003031569,0.0005440086,0.0003597215,0.0001952619],"domain_scores_gemma":[0.9964551,0.001142866,0.0004462619,0.0007832084,0.0008144925,0.0003580772],"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":[0.00008281316,0.00001674036,0.0005442993,0.001427471,0.00003387753,0.00001990763,0.00002661234,0.000140668,0.00006904652,0.0005338902,0.9934502,0.003654437],"study_design_scores_gemma":[0.0002083565,0.00001562377,0.001372897,0.0004930539,0.00003165913,0.00005378752,0.00005413969,0.0001952095,0.0001411165,0.00130286,0.9961073,0.00002387226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007889039,0.0001624486,0.00008741437,0.00009358099,0.00003435506,0.00002410631,0.9979523,0.0004263185,0.001140535],"genre_scores_gemma":[0.0002561687,0.0001606797,0.0003473297,0.0001311879,0.00001336654,0.0001756299,0.9977643,0.000110765,0.001040446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.182959,"threshold_uncertainty_score":0.6120589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03140934503839607,"score_gpt":0.3695782268017044,"score_spread":0.3381688817633083,"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."}}