{"id":"W4230055467","doi":"10.1515/iupac.87.0196","title":"Dopamine","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Neurological and metabolic disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Psychology; Chemistry; Linguistics; Philosophy; Data mining; Organic chemistry","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":[0.0002688363,0.0004337921,0.0009523899,0.0001868812,0.00005317858,0.00001739541,0.0002387329,0.0003805271,0.01022237],"category_scores_gemma":[0.0008611508,0.0002528332,0.0002744075,0.0001848757,0.0002100951,0.00003528062,0.0001422845,0.0005715924,0.00001415933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000806772,"about_ca_system_score_gemma":0.000508447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000359628,"about_ca_topic_score_gemma":0.00006609042,"domain_scores_codex":[0.997473,0.00005319566,0.0004324148,0.0005556963,0.001006078,0.0004796432],"domain_scores_gemma":[0.9982938,0.00007276889,0.0001637471,0.0008124377,0.0003187941,0.000338522],"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":[0.0005254417,0.0004901233,0.00001308463,0.0001566561,0.0001008665,0.00035049,0.000001122731,4.728103e-8,0.00004316494,0.00001098887,0.9851159,0.01319212],"study_design_scores_gemma":[0.002457178,0.0008085787,0.0001645586,0.0002134231,0.0003422218,0.00009942213,0.000004214216,3.295783e-7,0.00002107618,0.0001192371,0.9954808,0.0002889022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003939629,0.001384801,0.00002470038,0.004020222,0.0007998281,0.0004010982,0.9924002,0.0001042311,0.0004709734],"genre_scores_gemma":[0.00002156664,0.003493598,0.00002798915,0.00359533,0.001452136,0.00001777279,0.9880205,0.00003602704,0.003335091],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01290322,"threshold_uncertainty_score":0.9999924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668586655815556,"score_gpt":0.4027562374080115,"score_spread":0.3860703708498559,"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."}}