{"id":"W4231730617","doi":"10.1515/iupac.73.0477","title":"Olive Oil","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":"Olive oil; Table (database); Commission; Product (mathematics); Food science; Chemistry; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Law; Database","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":[0.0005432374,0.001519501,0.000992111,0.00325484,0.0005443658,0.001562212,0.001635993,0.001360255,0.03847759],"category_scores_gemma":[0.003938981,0.0003829749,0.001199424,0.005238909,0.0002608695,0.001049336,0.001394999,0.001048236,0.05619954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114202,"about_ca_system_score_gemma":0.001798792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02189832,"about_ca_topic_score_gemma":0.03779205,"domain_scores_codex":[0.9992542,0.00007910572,0.00009748931,0.0002651278,0.00018955,0.0001146247],"domain_scores_gemma":[0.9988893,0.0002309524,0.0002005219,0.0002526952,0.0003214064,0.0001052315],"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":[0.0003912169,0.00007062116,0.006124225,0.00331885,0.0001269721,0.00009713422,0.00004510677,0.0008336188,0.0007200928,0.001686736,0.9661539,0.0204316],"study_design_scores_gemma":[0.0001847245,0.0000235806,0.009103082,0.0006515468,0.00005352482,0.00008297149,0.00005652895,0.0003261232,0.0006024662,0.001319823,0.9875717,0.00002392514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003003035,0.0001446313,0.00006286155,0.00003280873,0.00001541502,0.000009729981,0.9984371,0.0001116174,0.0008856322],"genre_scores_gemma":[0.0005223709,0.0001288397,0.0002086868,0.00002941369,0.000003815945,0.00002420739,0.9983783,0.00001934263,0.0006850398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03847759,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718380034541561,"score_gpt":0.4030777042059976,"score_spread":0.385893903860582,"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."}}