{"id":"W7074579243","doi":"","title":"Aromatic amino acid requirements in human pregnancy and implications in maternal phenylketonuria management","year":2020,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phenylalanine; Pregnancy; Tyrosine; Aromatic amino acids; Gestation; Phenylalanine hydroxylase; Amino acid","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001120132,0.0001860948,0.0002204573,0.0004238884,0.0003570506,0.0004897397,0.000297018,0.000329902,0.0003942403],"category_scores_gemma":[0.00450948,0.0001035204,0.00008707076,0.0005243781,0.0003469599,0.0002620943,0.000261351,0.0003705385,0.00007365445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008675726,"about_ca_system_score_gemma":0.0008370318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008884126,"about_ca_topic_score_gemma":0.009744798,"domain_scores_codex":[0.999324,0.000352867,0.00007021765,0.00007423625,0.0001270791,0.00005165349],"domain_scores_gemma":[0.9987113,0.0005137962,0.0004717274,0.00004670867,0.0001445536,0.0001119159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001173406,0.0001936283,0.8225312,0.0003021845,0.00004784503,0.001424856,0.0009165612,0.0004971314,0.007073409,0.0003443573,0.0006832823,0.1648121],"study_design_scores_gemma":[0.00001246882,0.0007278275,0.9868891,0.0002722722,0.00005855186,0.003965816,0.001097347,0.0006838643,0.001841108,0.0005503463,0.003886375,0.0000149421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607138,0.03017466,0.001689852,0.002098433,0.00004122421,0.00002514404,0.0002463894,0.00002751541,0.004982955],"genre_scores_gemma":[0.9889323,0.008029256,0.002563257,0.0001438775,0.00002879842,0.0000214984,0.00007602142,0.000003470569,0.0002016186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008884126,"threshold_uncertainty_score":0.01766485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266296894802704,"score_gpt":0.2052245220458151,"score_spread":0.1925615530977881,"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."}}