{"id":"W4241527096","doi":"10.1186/isrctn35317141","title":"Donor Milk for Improved Neurodevelopmental Outcomes","year":2012,"lang":"en","type":"dataset","venue":"","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Business; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002021987,0.001905652,0.001889637,0.002565003,0.0005048097,0.001680216,0.002720051,0.002271278,0.03021895],"category_scores_gemma":[0.01588494,0.0006507545,0.004338498,0.004803441,0.0002915793,0.0009139607,0.001929973,0.001973299,0.01222392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681307,"about_ca_system_score_gemma":0.003207882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06905262,"about_ca_topic_score_gemma":0.1109792,"domain_scores_codex":[0.9983669,0.0003265577,0.000312179,0.0004319845,0.000314977,0.0002473806],"domain_scores_gemma":[0.9944136,0.001668547,0.001737532,0.0006763274,0.001057481,0.0004466433],"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":[0.002425285,0.0001420147,0.03017971,0.004706171,0.002612296,0.00009671121,0.00003385387,0.001574423,0.0001288308,0.0005709636,0.9458604,0.01166924],"study_design_scores_gemma":[0.01226312,0.0004803266,0.2470431,0.007801542,0.008250706,0.0007503575,0.0002508688,0.004016725,0.00106878,0.003709514,0.7141056,0.0002592946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00132659,0.0007091557,0.00008135334,0.0001666371,0.00003562041,0.0000239329,0.9969646,0.00007576553,0.0006162614],"genre_scores_gemma":[0.007146096,0.0007327942,0.0004236666,0.0003644374,0.00004355876,0.0003439851,0.9889035,0.00005623279,0.001985776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06905262,"threshold_uncertainty_score":0.1373014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02437677873057581,"score_gpt":0.294005279961018,"score_spread":0.2696285012304422,"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."}}