{"id":"W2789999152","doi":"10.12927/hcpol.2018.25400","title":"Medicine, Body Fluid and Food: The Regulation of Human Donor Milk in Canada","year":2018,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Breastfeeding Practices and Influences","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Pasteurization; Business; Food science; Internet privacy; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.003138148,0.0001721364,0.0002942813,0.001046132,0.008582223,0.005743239,0.001752335,0.001595191,0.003066121],"category_scores_gemma":[0.008280259,0.0002701598,0.0003232022,0.002617869,0.004314819,0.001047797,0.002136664,0.002412819,0.0001268573],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2020063,"about_ca_system_score_gemma":0.2972692,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967262,"about_ca_topic_score_gemma":0.9979475,"domain_scores_codex":[0.9943323,0.001014769,0.0002385324,0.0004596864,0.002273772,0.001680951],"domain_scores_gemma":[0.9905462,0.001695905,0.001308593,0.0001542206,0.003950985,0.00234403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006721902,0.0006394551,0.3822411,0.001083003,0.000151924,0.002114218,0.06443691,0.002232637,0.005194132,0.2233831,0.07318219,0.2446692],"study_design_scores_gemma":[0.00004382767,0.0001365566,0.585256,0.001999227,0.0001476106,0.0004373537,0.05477175,0.001455678,0.002864574,0.006548983,0.3461029,0.0002354572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.590323,0.04718176,0.0009827462,0.2647471,0.0005638477,0.0001237254,0.001258852,0.00005972137,0.09475923],"genre_scores_gemma":[0.9584276,0.01734317,0.001221354,0.01218553,0.00005879475,0.00003232511,0.0001495794,0.00002338103,0.01055815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2020063,"threshold_uncertainty_score":0.9255596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04085283624455743,"score_gpt":0.3576590211537616,"score_spread":0.3168061849092041,"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."}}