{"id":"W4404041736","doi":"10.1097/01.pcc.0001084648.88245.26","title":"OP049 Topic: AS04–Emerging Sciences, Methodologies, Big Data and Technology: AUTOMATIC RECRUITMENT MANEUVERS DETECTION IN MECHANICALLY VENTILATED PEDIATRIC PATIENT","year":2024,"lang":"en","type":"article","venue":"Pediatric Critical Care Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Medicine; Big data; Intensive care medicine; Data science; Data mining; Computer science","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":[0.005223351,0.0007440506,0.001052775,0.002290473,0.0004729827,0.004395628,0.001077619,0.001123466,0.006520102],"category_scores_gemma":[0.01401207,0.0002317967,0.0013658,0.002635168,0.0005254028,0.001797338,0.001567054,0.0008236208,0.00224891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007280227,"about_ca_system_score_gemma":0.00373635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003308527,"about_ca_topic_score_gemma":0.001977274,"domain_scores_codex":[0.9970687,0.001274631,0.0003339775,0.0004238747,0.000732582,0.0001662324],"domain_scores_gemma":[0.9906736,0.005319534,0.0007478113,0.0005319521,0.002318323,0.0004087582],"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":[0.0007680945,0.0004973011,0.1208667,0.004120636,0.0006780253,0.0008661628,0.0004406566,0.05439365,0.004163525,0.01268402,0.1598997,0.6406215],"study_design_scores_gemma":[0.0001967047,0.0007930415,0.07439733,0.00246482,0.0005790211,0.001445908,0.001266409,0.5827684,0.009179624,0.04678981,0.2799185,0.0002004318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2218238,0.06135405,0.5845602,0.04465016,0.0104941,0.002046967,0.03101458,0.01111304,0.03294304],"genre_scores_gemma":[0.6177828,0.03469973,0.2842698,0.004396403,0.008108354,0.001241451,0.03769349,0.0009811273,0.0108269],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006520102,"threshold_uncertainty_score":0.02762401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4298544125366655,"score_gpt":0.5084967520515795,"score_spread":0.07864233951491406,"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."}}