{"id":"W4249285046","doi":"10.1515/iupac.73.0700","title":"Yellow Fat","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Dermatological and COVID-19 studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Food science; Commission; Product (mathematics); Chemistry; Biochemistry; Human nutrition; 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":[0.0008868601,0.001347068,0.001165542,0.003667381,0.0005986482,0.002284779,0.00187031,0.001382454,0.0956035],"category_scores_gemma":[0.007319386,0.0004368529,0.001425454,0.006915824,0.0003176887,0.001475042,0.001959789,0.001229733,0.09980495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009567546,"about_ca_system_score_gemma":0.002212765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01178585,"about_ca_topic_score_gemma":0.02615782,"domain_scores_codex":[0.9989353,0.0001792134,0.0001704326,0.0003773505,0.0001866696,0.0001509972],"domain_scores_gemma":[0.9977931,0.0005972951,0.0003890537,0.0004684862,0.0005071583,0.0002449144],"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":[0.0002382695,0.00002505591,0.003950606,0.00217646,0.00009041843,0.00005313033,0.00004683596,0.0002252446,0.0001629695,0.0009933889,0.9839835,0.008054144],"study_design_scores_gemma":[0.000187078,0.00001952866,0.006860212,0.0006675618,0.00006026672,0.0001065183,0.00008549281,0.0001355111,0.0002160965,0.001259679,0.9903846,0.00001758808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001794619,0.0001888474,0.00006462993,0.00007229578,0.00002464077,0.00001065404,0.998354,0.0001705844,0.0009349254],"genre_scores_gemma":[0.0006519172,0.0002064064,0.0002428823,0.0001067787,0.00001212609,0.00005697005,0.9975376,0.00006110957,0.001124237],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0956035,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471804785021465,"score_gpt":0.4287908583101807,"score_spread":0.4040728104599661,"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."}}