{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009872885,0.001881137,0.001443667,0.004031021,0.001003037,0.003228592,0.002249181,0.002096356,0.1052644],"category_scores_gemma":[0.009101914,0.000531262,0.001281151,0.005802997,0.0004369142,0.002261622,0.00223237,0.001454887,0.1701602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009459183,"about_ca_system_score_gemma":0.002138302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00873165,"about_ca_topic_score_gemma":0.01781894,"domain_scores_codex":[0.9983993,0.0003019652,0.0001976154,0.0006276766,0.0002854936,0.000187906],"domain_scores_gemma":[0.9975623,0.0007246156,0.0002899827,0.0006028337,0.0005709899,0.0002492782],"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":[0.000226624,0.00003374057,0.003293025,0.001652936,0.00005333304,0.0000551983,0.00004857687,0.0003275977,0.0001509627,0.0009713216,0.9823914,0.0107952],"study_design_scores_gemma":[0.0001415563,0.00002606628,0.004453268,0.0006037376,0.00004377404,0.000120868,0.00008568678,0.0003695716,0.0002801339,0.001606033,0.9922453,0.00002406214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000485844,0.0005419196,0.0002322318,0.0002077609,0.00007849011,0.00003220595,0.9940048,0.000666797,0.003749984],"genre_scores_gemma":[0.001258135,0.0003574298,0.0005096965,0.0001893045,0.00002451298,0.000115199,0.9952132,0.0001266288,0.002205961],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1052644,"threshold_uncertainty_score":0,"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."}}