{"id":"W2786148895","doi":"10.1109/lsc.2017.8268184","title":"CRISP-TDM<inf>0</inf> for standardized knowledge discovery from physiological data streams: Retinopathy of prematurity and blood oxygen saturation case study","year":2017,"lang":"en","type":"article","venue":"","topic":"Retinopathy of Prematurity Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Tech University","funders":"","keywords":"Retinopathy of prematurity; Oxygen saturation; STREAMS; Oxygen; Medicine; Environmental science; Computer science; Chemistry; Computer network; Biology","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":[0.01610838,0.0006167729,0.0005797424,0.003009365,0.0008786496,0.003696639,0.002553873,0.001701814,0.02037115],"category_scores_gemma":[0.03371266,0.0004469998,0.00136969,0.003628938,0.0008998639,0.002077805,0.005068701,0.001397923,0.005714996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625608,"about_ca_system_score_gemma":0.003818952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002660208,"about_ca_topic_score_gemma":0.002340364,"domain_scores_codex":[0.9931486,0.002528649,0.00113208,0.000715585,0.002269879,0.0002053055],"domain_scores_gemma":[0.9840979,0.009135727,0.0009486439,0.00297551,0.002262693,0.0005794972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001235936,0.0006279267,0.02124055,0.003063551,0.0002318048,0.006191763,0.003167208,0.05163244,0.01177331,0.1280326,0.1184451,0.6543578],"study_design_scores_gemma":[0.000454512,0.0008283888,0.01532384,0.001342237,0.0001350479,0.005737775,0.002315367,0.4652288,0.02864853,0.1137314,0.3660207,0.0002333623],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02760863,0.0005544016,0.9172591,0.003134628,0.0002325826,0.002160078,0.01578322,0.008955549,0.0243118],"genre_scores_gemma":[0.09262108,0.0002721691,0.8922667,0.000323101,0.00006178239,0.001162563,0.009060473,0.000548521,0.003683619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02037115,"threshold_uncertainty_score":0.0851903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07392851678268109,"score_gpt":0.3575321394989851,"score_spread":0.283603622716304,"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."}}