{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001168933,0.0008743223,0.0005918242,0.001331195,0.0004475419,0.0008508636,0.002250907,0.0008553971,0.005858261],"category_scores_gemma":[0.004362641,0.0004470876,0.0004420663,0.001016028,0.0005689749,0.001065016,0.001191985,0.0008311131,0.00244691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005934052,"about_ca_system_score_gemma":0.0005547868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008589518,"about_ca_topic_score_gemma":0.0005867584,"domain_scores_codex":[0.9980682,0.0002699305,0.00009145257,0.0002883663,0.0012234,0.00005871302],"domain_scores_gemma":[0.9985198,0.0006010189,0.0001621181,0.0002986566,0.0003808354,0.00003764342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009229869,0.0007700938,0.003882077,0.001000285,0.00009366919,0.0001502823,0.0002985323,0.01696217,0.1001226,0.006445008,0.01312672,0.8562256],"study_design_scores_gemma":[0.001318545,0.002363175,0.01473876,0.0005482967,0.0003560815,0.002060817,0.0001264523,0.5000139,0.2852598,0.01752303,0.1753118,0.0003792786],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05355633,0.00391415,0.9128503,0.0004776987,0.0005744782,0.001150065,0.0004641215,0.006092726,0.02092013],"genre_scores_gemma":[0.4337906,0.001824536,0.5474513,0.0006826805,0.000451001,0.002185303,0.0007381811,0.0005894778,0.01228694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005858261,"threshold_uncertainty_score":0.01959789,"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."}}