{"id":"W2914441380","doi":"10.3390/ijns5010009","title":"Building a Newborn Screening Information Management System from Theory to Practice","year":2019,"lang":"en","type":"article","venue":"International Journal of Neonatal Screening","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Newborn Screening Ontario; Children's Hospital of Eastern Ontario","funders":"","keywords":"Flexibility (engineering); Procurement; Process management; Process (computing); Knowledge management; Information system; Work (physics); Engineering management; Computer science; Business; Engineering; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01561622,0.0005769174,0.0007780849,0.003086838,0.001685587,0.006263073,0.003243616,0.002137597,0.004960035],"category_scores_gemma":[0.01822782,0.0009240003,0.000842316,0.001908779,0.001312388,0.008747224,0.00447255,0.002879533,0.004048183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003708137,"about_ca_system_score_gemma":0.009191778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00632071,"about_ca_topic_score_gemma":0.003952543,"domain_scores_codex":[0.9926203,0.001994273,0.0009878977,0.001481539,0.002473495,0.0004424224],"domain_scores_gemma":[0.9879872,0.002842861,0.000702172,0.002331713,0.004350056,0.00178593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003828908,0.001274437,0.02033077,0.001354857,0.0001843971,0.002066172,0.006300374,0.01497248,0.0250836,0.05483011,0.05739623,0.8158237],"study_design_scores_gemma":[0.0002383037,0.001219323,0.0161009,0.003467415,0.0002921262,0.002726436,0.004749934,0.2640427,0.04141718,0.0728187,0.592366,0.0005609114],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0269879,0.0008574031,0.9099221,0.007466085,0.0003236887,0.001825002,0.0009144311,0.03514424,0.0165593],"genre_scores_gemma":[0.08137781,0.0006488242,0.9099085,0.0009437348,0.00007742792,0.0005432686,0.0021213,0.0006235666,0.003755626],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01561622,"threshold_uncertainty_score":0.08258748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007855951743561695,"score_gpt":0.2779725315462516,"score_spread":0.2701165798026899,"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."}}