{"id":"W4252254326","doi":"10.1515/iupac.73.0436","title":"Micelle","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); Micelle; Commission; Product (mathematics); Chemistry; Food science; Biochemistry; Organic chemistry; Lipidology; Polymer science; Fatty acid; Computer science; Mathematics; Political science; 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":[],"consensus_categories":[],"category_scores_codex":[0.001238368,0.002497919,0.002007981,0.002896608,0.0009735642,0.002763443,0.003277427,0.00265023,0.04409663],"category_scores_gemma":[0.005733375,0.0007641554,0.002200138,0.005616134,0.0004655689,0.002049402,0.001966791,0.002222727,0.0824264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495652,"about_ca_system_score_gemma":0.002425199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0116918,"about_ca_topic_score_gemma":0.02022932,"domain_scores_codex":[0.9986394,0.0002080039,0.0001908549,0.0004506262,0.0003179713,0.0001931599],"domain_scores_gemma":[0.9984329,0.0004011245,0.0003417215,0.0003607497,0.000328878,0.0001346203],"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":[0.0007161074,0.0001262103,0.003121839,0.005847514,0.0002118084,0.0001028533,0.0000537098,0.001069361,0.001840683,0.001757453,0.973747,0.01140539],"study_design_scores_gemma":[0.00051342,0.0001020249,0.005164026,0.00107732,0.0001608043,0.0001768116,0.00004826182,0.0007222138,0.001745275,0.002287974,0.9879509,0.00005098393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004468237,0.0006289078,0.0001627921,0.00008523816,0.00003451709,0.00003522394,0.9971512,0.0004964111,0.000958933],"genre_scores_gemma":[0.0006474557,0.000376861,0.0003562274,0.0001030661,0.000008192261,0.00009971236,0.9976336,0.00007727234,0.0006975674],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04409663,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545549214908363,"score_gpt":0.4162526768384379,"score_spread":0.4007971846893542,"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."}}