{"id":"W4230215814","doi":"10.1515/iupac.73.0046","title":"Amyrin","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Commission; Chemistry; Food science; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Data mining; Law","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":[0.0003742769,0.0004217329,0.0007230598,0.0002066386,0.0001017683,0.00007367384,0.0004374418,0.0006091289,0.001458607],"category_scores_gemma":[0.0004455501,0.0002913858,0.0003349718,0.0001993436,0.0001829706,0.00004522447,0.00015465,0.0005417554,0.000003581791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003679749,"about_ca_system_score_gemma":0.00008455604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002392863,"about_ca_topic_score_gemma":0.0003936587,"domain_scores_codex":[0.9975407,0.00008649369,0.0004902732,0.0005661895,0.0008924689,0.0004239402],"domain_scores_gemma":[0.9981344,0.00007909825,0.0002533086,0.0009915535,0.0003871389,0.0001545296],"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":[0.00016413,0.0001269745,0.000002251699,0.00006456508,0.00006557896,0.00002188176,0.000002598993,2.869485e-8,0.0004237255,0.000005082129,0.9894114,0.009711816],"study_design_scores_gemma":[0.00027545,0.0001624225,0.000004028882,0.0004694715,0.0002188255,0.000009849044,0.000002321885,0.000004277955,0.002685319,0.001089169,0.9946508,0.0004280033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006387656,0.000443105,0.0001155055,0.003952273,0.0006361661,0.0001392434,0.9943253,0.0002410217,0.00008355051],"genre_scores_gemma":[0.00006806395,0.000251022,0.0002857099,0.001238181,0.001227403,0.00000344276,0.996686,0.00004221739,0.0001979546],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009283813,"threshold_uncertainty_score":0.9999538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407966396664761,"score_gpt":0.3997562258637686,"score_spread":0.385676561897121,"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."}}