{"id":"W4237220127","doi":"10.1515/iupac.73.0093","title":"Bran","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":"Food science; Table (database); Product (mathematics); Chemistry; Commission; Biochemistry; Organic chemistry; Polymer science; 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":[0.001005089,0.002107948,0.001469316,0.003568235,0.0009452218,0.003380792,0.002447044,0.001678428,0.144668],"category_scores_gemma":[0.006730068,0.0006233036,0.001441511,0.005823283,0.0003858611,0.002010338,0.002106964,0.001642031,0.2222853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001168088,"about_ca_system_score_gemma":0.002265601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01790079,"about_ca_topic_score_gemma":0.03432238,"domain_scores_codex":[0.9985142,0.0002271116,0.0001928854,0.0005709121,0.0003051504,0.000189672],"domain_scores_gemma":[0.9975812,0.0005354049,0.0002858473,0.0005692212,0.0008171926,0.0002109588],"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":[0.0001993375,0.00002712788,0.002165307,0.001210763,0.00004599186,0.00003471565,0.00003872194,0.0001696096,0.0001732142,0.0008026607,0.987358,0.007774673],"study_design_scores_gemma":[0.0001459419,0.00001897867,0.003887183,0.0004903369,0.00003135853,0.00006018715,0.00008932922,0.0001415026,0.0002477846,0.001063178,0.9938064,0.00001798482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001936431,0.0001246488,0.00009138342,0.00007803881,0.00004426572,0.00001802911,0.9974999,0.0003160508,0.001634026],"genre_scores_gemma":[0.0004177643,0.000106595,0.0002183671,0.00009109713,0.00001209653,0.00005668694,0.9973741,0.00008891254,0.001634378],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.144668,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637811238667883,"score_gpt":0.4261447239720526,"score_spread":0.4097666115853738,"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."}}