{"id":"W4313596624","doi":"10.1016/j.ibmed.2023.100087","title":"Discriminating Acute Respiratory Distress Syndrome from other forms of respiratory failure via iterative machine learning","year":2023,"lang":"en","type":"article","venue":"Intelligence-Based Medicine","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"ARDS; Medicine; Mechanical ventilation; Intensive care medicine; Acute respiratory distress; Respiratory failure; Demographics; Emergency medicine; Lung; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003664103,0.0009628733,0.0009934769,0.001334316,0.0004635075,0.001141853,0.0008547783,0.0008816759,0.0008679475],"category_scores_gemma":[0.01138942,0.0003102154,0.001017598,0.0005544974,0.0004841137,0.0006053001,0.001051987,0.001257509,0.0004183615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006617829,"about_ca_system_score_gemma":0.001616495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004584047,"about_ca_topic_score_gemma":0.005732336,"domain_scores_codex":[0.9985058,0.0007090354,0.0001785323,0.000264432,0.0001733617,0.0001688578],"domain_scores_gemma":[0.9952658,0.003469579,0.0003418178,0.0002055584,0.000584648,0.0001324956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009981049,0.001358286,0.2181494,0.0001621564,0.0005495583,0.0006593171,0.0004583803,0.3781982,0.01149951,0.001190767,0.001846757,0.3849295],"study_design_scores_gemma":[0.00003058496,0.0002659738,0.01100547,0.00001668456,0.00004498525,0.0001810745,0.00004212862,0.983637,0.003059555,0.001342897,0.0003529446,0.00002069178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5976467,0.0004826096,0.3963666,0.0006705863,0.00006432838,0.0005264857,0.0002847089,0.001642455,0.002315526],"genre_scores_gemma":[0.9081383,0.00007804264,0.09017815,0.000165444,0.00003161917,0.00017293,0.0005490955,0.00002967769,0.0006566907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004584047,"threshold_uncertainty_score":0.01937789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04599419116801513,"score_gpt":0.3184280605876282,"score_spread":0.2724338694196131,"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."}}