{"id":"W4248286304","doi":"10.1515/iupac.73.0384","title":"Lcat","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Chemistry; Biochemistry; Food science; Commission; 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":[0.001216203,0.002224391,0.001499895,0.003852877,0.001033784,0.00304029,0.003391503,0.002438168,0.08296075],"category_scores_gemma":[0.009669773,0.0006097002,0.001974762,0.006161089,0.0004824297,0.002207104,0.001926227,0.002101669,0.1518848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00140403,"about_ca_system_score_gemma":0.00294033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01616533,"about_ca_topic_score_gemma":0.03651384,"domain_scores_codex":[0.9983996,0.0002651758,0.000187167,0.0006150219,0.0003301362,0.0002028831],"domain_scores_gemma":[0.9975103,0.0007319649,0.0002449412,0.0006983535,0.0006302649,0.0001841498],"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":[0.0001208989,0.0000325382,0.001663053,0.001047715,0.00006277396,0.000037715,0.00002379678,0.0004779286,0.0001206429,0.0008140988,0.9897946,0.005804211],"study_design_scores_gemma":[0.0002346087,0.00002989087,0.003744059,0.0005145665,0.00006158018,0.0001100657,0.00007797898,0.0008264827,0.0003814813,0.002803537,0.9911814,0.00003435628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000193579,0.0001621272,0.0001876151,0.00009504888,0.0000423286,0.00002009488,0.9975119,0.0007091631,0.001078152],"genre_scores_gemma":[0.0003963571,0.0001008982,0.0004099748,0.00007721769,0.000009367185,0.00007299845,0.9981666,0.00009231433,0.0006743817],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08296075,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007839345636142282,"score_gpt":0.3748008726741216,"score_spread":0.3669615270379793,"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."}}