{"id":"W4236049419","doi":"10.1515/iupac.87.0344","title":"Levarterenol","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Nitric Oxide and Endothelin Effects","field":"Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003969841,0.0004649605,0.0009298327,0.0003070435,0.00006373753,0.00002637301,0.0002264015,0.000474813,0.006747948],"category_scores_gemma":[0.0006734621,0.0003066823,0.0002793145,0.0001789065,0.0001101548,0.00005000666,0.0001007966,0.0005932267,0.00003670778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003548453,"about_ca_system_score_gemma":0.000908178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005812186,"about_ca_topic_score_gemma":0.0000848215,"domain_scores_codex":[0.9973889,0.00006488351,0.0004417147,0.0005078958,0.001087646,0.0005089335],"domain_scores_gemma":[0.9978777,0.0001582576,0.0001827945,0.001092997,0.0003722324,0.0003160732],"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":[0.0004470569,0.0002687818,0.00001425234,0.0004221171,0.0002092179,0.0005198338,0.000004321675,4.604179e-8,0.00009751474,0.000002555672,0.9864674,0.01154694],"study_design_scores_gemma":[0.003193138,0.0007181409,0.00004272864,0.001122245,0.0004829401,0.0001994599,0.000007218312,0.000001296349,0.0001200193,0.00007956639,0.9936869,0.0003463447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002066432,0.0009539191,0.00008462361,0.001291999,0.0008140359,0.0004857534,0.995788,0.0001171047,0.000257866],"genre_scores_gemma":[0.00003458064,0.001175485,0.00006080898,0.001114552,0.002663072,0.00001949118,0.9917676,0.00006201975,0.003102327],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0112006,"threshold_uncertainty_score":0.9999385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633589141870961,"score_gpt":0.4114258461140258,"score_spread":0.3950899546953162,"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."}}