{"id":"W4245244644","doi":"10.1515/iupac.73.0385","title":"Ldl","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Food science; Product (mathematics); Chemistry; Commission; Biochemistry; Organic chemistry; Computer science; Political science; Mathematics; Law; Data mining","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001039492,0.001749906,0.001335093,0.003111431,0.0008800213,0.003172036,0.002481899,0.001928608,0.1102092],"category_scores_gemma":[0.008344328,0.0005229017,0.001527663,0.004900023,0.0003213998,0.001755,0.002236695,0.001543535,0.1762381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310962,"about_ca_system_score_gemma":0.00235718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01744731,"about_ca_topic_score_gemma":0.0334083,"domain_scores_codex":[0.9984422,0.000226819,0.0002147971,0.0006088556,0.0002949607,0.0002123568],"domain_scores_gemma":[0.9974722,0.0004989515,0.0003036155,0.0006841838,0.0008437608,0.0001972587],"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":[0.0001551867,0.00002402221,0.002480265,0.001098471,0.00005596284,0.00003308304,0.00003087309,0.0001744941,0.0001646888,0.0007557462,0.9877337,0.00729352],"study_design_scores_gemma":[0.0002040788,0.00002767205,0.005484116,0.0007037052,0.000066498,0.0001081134,0.00009233708,0.0003014024,0.0003747172,0.002157386,0.990451,0.00002895341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001690812,0.0001196573,0.0001116717,0.00009602006,0.00003956562,0.00001741507,0.9980301,0.0002681903,0.001148292],"genre_scores_gemma":[0.0004772917,0.00009998465,0.0002778583,0.0001208357,0.00001404241,0.00007109642,0.9976854,0.00005177424,0.001201735],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8897908,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686206516071982,"score_gpt":0.4296667674220179,"score_spread":0.4128047022612981,"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."}}