{"id":"W4249140432","doi":"10.1515/iupac.73.0336","title":"Human Milk","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Commission; Product (mathematics); Food science; Chemistry; Human nutrition; Biochemistry; Organic chemistry; Polymer science; Biotechnology; Computer science; Biology; 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":[0.0007421004,0.001474816,0.001153803,0.003092216,0.0005799966,0.00177993,0.0020751,0.001834062,0.05997512],"category_scores_gemma":[0.007106243,0.0005205872,0.00129407,0.006470622,0.000266372,0.001176002,0.001588268,0.001182884,0.0691986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221298,"about_ca_system_score_gemma":0.002063908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02711539,"about_ca_topic_score_gemma":0.03553054,"domain_scores_codex":[0.9989265,0.0001519,0.0001834806,0.0003720287,0.0002165475,0.0001496326],"domain_scores_gemma":[0.9978359,0.0005402058,0.0004325781,0.0003797671,0.0006284176,0.0001831049],"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":[0.0002559586,0.0000438574,0.005813158,0.002353155,0.00009652361,0.00006684325,0.0000436278,0.0002610179,0.0001692384,0.0006987527,0.9802524,0.009945454],"study_design_scores_gemma":[0.0002962555,0.0000321545,0.01923388,0.001269161,0.00008641027,0.0001580866,0.0001330708,0.0002748725,0.0003850455,0.001043025,0.9770562,0.00003190044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002565146,0.0001602909,0.00004286232,0.00006390684,0.00002142582,0.00001032926,0.9986503,0.00006787883,0.0007265635],"genre_scores_gemma":[0.0007802069,0.0001813355,0.0001813288,0.0000889501,0.00001096351,0.00006434733,0.9974936,0.00001835395,0.001180788],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05997512,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844811452024984,"score_gpt":0.4107979096630935,"score_spread":0.3923497951428437,"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."}}