{"id":"W3008957755","doi":"10.4187/respcare.07240","title":"Oxygen Conservation Methods With Automated Titration","year":2020,"lang":"en","type":"article","venue":"Respiratory Care","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Royal Canadian Navy; Institut universitaire de cardiologie et de pneumologie de Québec; Université de Montréal; Canadian Armed Forces","funders":"Canadian Armed Forces","keywords":"Hypoxemia; Titration; Oxygenation; Medicine; Oxygen; Scroll; Algorithm; Cardiology; Internal medicine; Computer science; Physics; Chemistry; Engineering; Mechanical engineering; Inorganic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001464612,0.0001591998,0.0002551308,0.0000631904,0.00007797628,0.00002532042,0.00006516653,0.0001227292,0.0001996782],"category_scores_gemma":[0.00008410059,0.0001277027,0.00006374855,0.0003068633,0.00003515432,0.000130577,0.00001754942,0.0001483409,0.0000909489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006513893,"about_ca_system_score_gemma":0.0004212635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004727363,"about_ca_topic_score_gemma":0.000006025118,"domain_scores_codex":[0.998915,0.0001058825,0.000239325,0.0002976899,0.0002611547,0.0001809985],"domain_scores_gemma":[0.9990898,0.00002123184,0.00009270176,0.0002346718,0.000300963,0.0002606462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005368951,0.00003351365,0.01894717,0.0004402518,0.00009987409,0.0002198237,0.002248836,0.00002292863,0.9426402,0.0005394609,0.01178449,0.02248653],"study_design_scores_gemma":[0.001986866,0.001886945,0.01374074,0.00006807941,0.0001532642,0.00001615525,0.001926754,0.0006199896,0.4025899,0.000008742054,0.5767365,0.0002660591],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958099,0.00131899,0.01927835,0.002546304,0.0002065717,0.001411053,0.00002154893,0.002092505,0.01502565],"genre_scores_gemma":[0.9227707,0.000004438825,0.03145684,0.0449453,0.0004074053,0.00007086083,0.0001275183,0.00007696648,0.0001399169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.564952,"threshold_uncertainty_score":0.5207564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05391551948593511,"score_gpt":0.3534923989434489,"score_spread":0.2995768794575138,"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."}}