{"id":"W4250092406","doi":"10.1515/iupac.73.0273","title":"Feta","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); Food science; Commission; 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":[0.001117553,0.00242778,0.001862022,0.004527245,0.001094327,0.003481095,0.003183614,0.002535301,0.08163486],"category_scores_gemma":[0.00822313,0.0006757176,0.001864647,0.007350762,0.0004679626,0.00244902,0.002752446,0.001989629,0.1369023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590203,"about_ca_system_score_gemma":0.002755561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01575835,"about_ca_topic_score_gemma":0.02897913,"domain_scores_codex":[0.9983774,0.0002707904,0.0002154022,0.0005928961,0.0003074512,0.0002359645],"domain_scores_gemma":[0.9977452,0.0005967904,0.0003295702,0.0005551685,0.0005537746,0.0002194565],"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":[0.0002463651,0.00002517895,0.002339164,0.00221883,0.00009492391,0.0000602008,0.00004416515,0.0004323324,0.0002574079,0.001240474,0.98603,0.007011042],"study_design_scores_gemma":[0.0002120283,0.00002733259,0.003829654,0.0008493663,0.00007705192,0.0001292526,0.00006609906,0.0003289363,0.0003605468,0.002481903,0.9916061,0.00003173276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001206954,0.000221726,0.0001046048,0.00009103343,0.00002905241,0.00001151011,0.9981652,0.0003809835,0.0008752486],"genre_scores_gemma":[0.0003334343,0.0001702011,0.0002591127,0.00009057389,0.000008997036,0.00005084026,0.9983885,0.00007909155,0.0006192525],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08163486,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01761034392001703,"score_gpt":0.4274571757787567,"score_spread":0.4098468318587397,"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."}}