{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001366579,0.0005871269,0.001665804,0.0001052362,0.0008032379,0.0002967476,0.000724812,0.0003089549,0.00003791077],"category_scores_gemma":[0.004335016,0.0004204611,0.0002119255,0.00008482284,0.000548431,0.0009684132,0.001662553,0.000394202,0.000005298775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000617269,"about_ca_system_score_gemma":0.0001742255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005060217,"about_ca_topic_score_gemma":0.002019336,"domain_scores_codex":[0.9962093,0.0003018883,0.0009864909,0.001380279,0.0006071759,0.0005148826],"domain_scores_gemma":[0.9945603,0.0007117352,0.0007165004,0.003178202,0.0005958049,0.0002374404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02600584,0.02743129,0.2404352,0.006844424,0.01103454,0.006692872,0.04939465,0.000003560629,0.5206034,0.001386831,0.08132437,0.02884304],"study_design_scores_gemma":[0.04115354,0.009821477,0.877472,0.00141482,0.008108485,0.001035275,0.02220129,0.001897474,0.03049074,0.001938287,0.002497006,0.001969643],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888885,0.002813118,0.0002234301,0.0004953137,0.0003848812,0.003833865,0.002091692,0.0001362488,0.001132952],"genre_scores_gemma":[0.9928598,0.0004021077,0.005077387,0.00004258653,0.0005847978,0.0001085266,0.0004278775,0.00004896643,0.0004479079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6370367,"threshold_uncertainty_score":0.9998247,"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."}}