{"id":"W4252563474","doi":"10.1515/iupac.87.0630","title":"Striatum","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Dermatological and Skeletal Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; 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":[0.001018351,0.00162835,0.001238756,0.002634722,0.0009383332,0.003410324,0.002567984,0.001605628,0.1513158],"category_scores_gemma":[0.008027095,0.0005593179,0.001556981,0.004061217,0.0003713518,0.002318488,0.00234438,0.001522943,0.217164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446944,"about_ca_system_score_gemma":0.002344247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01547406,"about_ca_topic_score_gemma":0.03402646,"domain_scores_codex":[0.9985393,0.0002217969,0.0002155146,0.0005594011,0.0002903074,0.0001735958],"domain_scores_gemma":[0.9975671,0.0004941942,0.0002351785,0.0007267153,0.0007970792,0.0001797339],"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":[0.0001639519,0.00002039797,0.001769031,0.0008851726,0.00004139581,0.000029766,0.00002877691,0.0002048482,0.0001093173,0.001154391,0.9855224,0.0100706],"study_design_scores_gemma":[0.0001131366,0.00001790524,0.003030665,0.0003740506,0.00003099809,0.00008588463,0.0000677987,0.0002708901,0.0002636542,0.002088191,0.9936358,0.00002102354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002205579,0.0001856489,0.0002040171,0.0001361503,0.00006033795,0.0000343328,0.9944463,0.0007696472,0.003943114],"genre_scores_gemma":[0.000646495,0.0001527749,0.0005224302,0.0001767126,0.00001339794,0.00009469067,0.9958122,0.0001141964,0.00246704],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1513158,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008519747071140542,"score_gpt":0.3627125689736964,"score_spread":0.3541928219025559,"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."}}