{"id":"W4401033982","doi":"10.26717/bjstr.2023.51.008062","title":"Artificial Intelligence and Medical Oxygen","year":2023,"lang":"en","type":"article","venue":"Biomedical Journal of Scientific & Technical Research","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Oxygen; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Computer science; Medicine; Virology; Chemistry; Pathology; Infectious disease (medical specialty); Disease; Outbreak","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":[0.001129718,0.0005183101,0.0005750706,0.0009818021,0.0005203201,0.003094303,0.0007754904,0.002423708,0.00447584],"category_scores_gemma":[0.003709018,0.0001507041,0.0003800162,0.001124781,0.002336321,0.002266319,0.001007791,0.001966222,0.00113031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029759,"about_ca_system_score_gemma":0.000936965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001798476,"about_ca_topic_score_gemma":0.0009992246,"domain_scores_codex":[0.9990822,0.0003481973,0.00006174402,0.0001294522,0.0003138253,0.0000646066],"domain_scores_gemma":[0.9976397,0.001732394,0.0001577217,0.0001383894,0.0002464631,0.0000854327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009436933,0.0001210314,0.002561426,0.001294299,0.0001302387,0.0003522514,0.0003589785,0.01622999,0.0009396642,0.6448492,0.0380733,0.2949953],"study_design_scores_gemma":[0.00002116419,0.00007625798,0.001469193,0.0005359648,0.00003021591,0.0003993019,0.0002496164,0.0186257,0.00048346,0.8168511,0.1612225,0.00003560114],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01764787,0.370855,0.1401165,0.1092229,0.005512643,0.0001775205,0.0006963685,0.0006110086,0.3551602],"genre_scores_gemma":[0.6393063,0.1989877,0.08236994,0.0152818,0.006437636,0.000312654,0.0009489529,0.0001121889,0.05624284],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.00447584,"threshold_uncertainty_score":0.01497316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2905993628104039,"score_gpt":0.5024645862450838,"score_spread":0.2118652234346799,"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."}}