{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007484676,0.001207093,0.001028887,0.002235014,0.0006937321,0.002705015,0.001979801,0.001233292,0.1473845],"category_scores_gemma":[0.006739932,0.00048338,0.001261961,0.003724869,0.0002929036,0.001579833,0.001734493,0.001373047,0.174195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334423,"about_ca_system_score_gemma":0.002028677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01516111,"about_ca_topic_score_gemma":0.03017758,"domain_scores_codex":[0.998913,0.0001816057,0.0001805313,0.0003880672,0.0002149795,0.0001218453],"domain_scores_gemma":[0.9977374,0.0004962172,0.0002905502,0.0005839957,0.0007053253,0.0001865162],"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":[0.0001804338,0.00001675159,0.002262745,0.001255888,0.00004757533,0.00003171664,0.00003008398,0.000179569,0.0001045098,0.001079331,0.9842123,0.01059906],"study_design_scores_gemma":[0.0001044663,0.00001490682,0.004015417,0.0004151557,0.00002696024,0.00008371122,0.0000527318,0.0001683545,0.0001799654,0.001310357,0.9936093,0.00001871495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002320105,0.0002562928,0.0001473521,0.0001623582,0.00006283494,0.00002192328,0.9944394,0.0004534346,0.004224493],"genre_scores_gemma":[0.001072411,0.0002815653,0.0004175406,0.0002507016,0.00002139589,0.00008423334,0.9942546,0.0001155352,0.003502006],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1473845,"threshold_uncertainty_score":0,"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."}}