{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006205459,0.001180711,0.001113171,0.002702013,0.0004781812,0.001739669,0.001382628,0.001119207,0.06357699],"category_scores_gemma":[0.004369865,0.0003691715,0.001475243,0.003877127,0.0002739216,0.001165136,0.001090172,0.001331702,0.05778886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009941392,"about_ca_system_score_gemma":0.001761677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01128065,"about_ca_topic_score_gemma":0.02151924,"domain_scores_codex":[0.9991528,0.0001365932,0.0001929136,0.0002692078,0.0001684274,0.00008002396],"domain_scores_gemma":[0.9983519,0.0004831398,0.0003861712,0.0003275858,0.0003517028,0.00009950572],"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":[0.001187539,0.00008831505,0.006334278,0.008326434,0.0002663669,0.0001276527,0.00004549843,0.0007932759,0.0006887725,0.001230985,0.939876,0.0410348],"study_design_scores_gemma":[0.0004002975,0.00005680529,0.009072207,0.001273085,0.0001289816,0.000173787,0.00005076797,0.0002268749,0.00054569,0.001057725,0.9869837,0.000030242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005283479,0.000590371,0.0001174174,0.00008300541,0.00003691339,0.00003087328,0.9960994,0.0002130061,0.002300648],"genre_scores_gemma":[0.001759076,0.0006808793,0.0004870101,0.0002005141,0.00002253842,0.000133507,0.9944099,0.00005262311,0.002254044],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06357699,"threshold_uncertainty_score":0.2126862,"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."}}