{"id":"W4245451944","doi":"10.1515/iupac.73.0693","title":"Whey","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Fatty Acid Research and Health","field":"Nursing","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; Political science; Mathematics; 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":[0.0009081033,0.001850376,0.00128221,0.003327409,0.0009021625,0.002239069,0.002756209,0.001985121,0.06551416],"category_scores_gemma":[0.007289513,0.00052538,0.00154336,0.005375703,0.0003565285,0.001766884,0.002211717,0.001463547,0.09472752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386807,"about_ca_system_score_gemma":0.002219718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02241448,"about_ca_topic_score_gemma":0.0428789,"domain_scores_codex":[0.9985731,0.0002527109,0.0001934103,0.0004857403,0.0002917677,0.0002032757],"domain_scores_gemma":[0.998013,0.0005145153,0.0002744152,0.0004768314,0.0005191959,0.0002019682],"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":[0.0002008093,0.00003452371,0.002409243,0.001415684,0.00005784207,0.00004426809,0.00003989282,0.0002681177,0.0001423099,0.0006895759,0.9867603,0.007937428],"study_design_scores_gemma":[0.0002306559,0.00002873088,0.006892151,0.0005957573,0.00004638895,0.0001047477,0.0001107594,0.0003965585,0.0003208613,0.001250777,0.9899955,0.00002704904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003032615,0.0002459179,0.00009643747,0.0001475601,0.00004450843,0.00002214878,0.997451,0.0003284127,0.001360813],"genre_scores_gemma":[0.0005888886,0.000153947,0.000247151,0.0001022521,0.0000104751,0.00006686273,0.9975783,0.00005699564,0.001195109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06551416,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254307749335577,"score_gpt":0.45581744857372,"score_spread":0.4303866736401623,"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."}}