{"id":"W4404042358","doi":"10.1097/01.pcc.0001085432.53853.29","title":"PP259 Topic: AS25–Sedation/Analgesia/Delirium/Withdrawal Syndrome/Other: PSYCHOMOTOR AGITATION DETECTION USING DEEP LEARNING","year":2024,"lang":"en","type":"article","venue":"Pediatric Critical Care Medicine","topic":"Intensive Care Unit Cognitive Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Université de Montréal; École de Technologie Supérieure; Mila - Quebec Artificial Intelligence Institute; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Medicine; Delirium; Sedation; Psychomotor agitation; Psychomotor learning; Anesthesia; Emergence delirium; Intensive care medicine; Psychiatry; Cognition","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007258049,0.001290328,0.0006422838,0.001196721,0.000543982,0.001713266,0.0009931953,0.001894526,0.02737339],"category_scores_gemma":[0.001772483,0.0001728621,0.0007320791,0.0008514053,0.0003469817,0.000917268,0.0008140136,0.0009926041,0.01374073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008560401,"about_ca_system_score_gemma":0.001252983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006277965,"about_ca_topic_score_gemma":0.009552855,"domain_scores_codex":[0.9994155,0.00009003118,0.00005078808,0.0001546187,0.0002052906,0.00008379082],"domain_scores_gemma":[0.9991423,0.0001330845,0.00004894907,0.0000566695,0.0004546976,0.0001642391],"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":[0.0004928898,0.0002672001,0.002475739,0.0008036605,0.0001259099,0.0003837858,0.00004292863,0.007606681,0.01076659,0.001342484,0.397899,0.5777931],"study_design_scores_gemma":[0.0002116811,0.001257134,0.02691217,0.0007480208,0.0003124019,0.002138894,0.0002416114,0.2622102,0.04721154,0.01029748,0.6482667,0.0001922357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1643518,0.1226186,0.4156158,0.02754047,0.04035572,0.003518004,0.03409286,0.0370432,0.1548637],"genre_scores_gemma":[0.4778308,0.02926192,0.1315503,0.005979068,0.01333311,0.001082871,0.06885722,0.002573363,0.2695312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02737339,"threshold_uncertainty_score":0.09157318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01926058812356005,"score_gpt":0.3376949759034693,"score_spread":0.3184343877799092,"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."}}