{"id":"W4230357450","doi":"10.1515/iupac.87.0092","title":"Barnes Maze","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"German Literature and Culture Studies","field":"Arts and Humanities","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":[0.000173046,0.0004992503,0.0006095899,0.0001245914,0.0002931863,0.0003025123,0.0003633757,0.0001959235,0.02553312],"category_scores_gemma":[0.00009395053,0.0002942705,0.0002362171,0.00003175554,0.0003640886,0.0001465715,0.0001389233,0.0003980085,0.0000240806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008456298,"about_ca_system_score_gemma":0.0001242227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006112753,"about_ca_topic_score_gemma":0.004239362,"domain_scores_codex":[0.9980505,0.00004875667,0.000377501,0.000422252,0.0006910176,0.0004099577],"domain_scores_gemma":[0.9984829,0.00004313281,0.0001858359,0.000540673,0.000651284,0.00009613965],"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":[0.00004093417,0.00008325256,4.33604e-7,0.0001407567,0.0001920115,0.00004355894,0.002058829,1.427587e-8,6.376264e-7,0.002495878,0.9941452,0.0007984558],"study_design_scores_gemma":[0.0003670959,0.000121476,0.000002378293,0.0003590464,0.000156743,0.00000561193,0.0004882652,3.312017e-8,0.000001422291,0.0007868482,0.9972576,0.0004534781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001129213,0.00414722,0.000001230273,0.001173192,0.002434272,0.0001756639,0.9861397,0.00009373712,0.005823655],"genre_scores_gemma":[0.00003156215,0.0006453453,0.000003167126,0.0009154131,0.008533771,0.00001951564,0.9606241,0.00003190977,0.02919524],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02551567,"threshold_uncertainty_score":0.9999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569197943997105,"score_gpt":0.3510263045450632,"score_spread":0.3353343251050922,"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."}}