{"id":"W4246910070","doi":"10.1515/iupac.73.0191","title":"Deep-Frying","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Edible Oils Quality and Analysis","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Commission; Food science; Product (mathematics); Chemistry; Biochemistry; Organic chemistry; Polymer science; Computer science; Mathematics; Political science; 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":[0.001013627,0.002409517,0.001391848,0.002751105,0.0009622098,0.00194882,0.002932274,0.002317487,0.03394606],"category_scores_gemma":[0.004651751,0.0004738378,0.002192817,0.003106412,0.0004746357,0.001690444,0.00195233,0.001809159,0.05535848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117559,"about_ca_system_score_gemma":0.001529902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02715189,"about_ca_topic_score_gemma":0.05776974,"domain_scores_codex":[0.9989125,0.0001514396,0.00009431643,0.0004553958,0.0002047544,0.0001816733],"domain_scores_gemma":[0.9984531,0.0003420559,0.0002103443,0.0004453002,0.0004119606,0.0001372481],"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":[0.000584884,0.0001526661,0.007393535,0.002162698,0.0002003934,0.0001283899,0.00008685673,0.00116724,0.0005682852,0.001296681,0.9638788,0.0223796],"study_design_scores_gemma":[0.0003104873,0.0000986472,0.0206865,0.0008383553,0.0001552536,0.0001780598,0.0001954172,0.001505837,0.00101643,0.002222703,0.9727245,0.00006781055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0015218,0.0005909601,0.0003451637,0.0001302191,0.00009694088,0.0000304168,0.9949669,0.000553544,0.001763988],"genre_scores_gemma":[0.001557737,0.0001913278,0.0007002277,0.00006386499,0.0000141304,0.00005327613,0.9958515,0.00005766558,0.001510303],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03394606,"threshold_uncertainty_score":0.1135609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893063286606667,"score_gpt":0.4047442532200331,"score_spread":0.3858136203539664,"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."}}