{"id":"W4285268540","doi":"10.1093/texcom/tgac019","title":"Measuring “pain load” during general anesthesia","year":2022,"lang":"en","type":"article","venue":"Cerebral Cortex Communications","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"National Institute of General Medical Sciences; National Institutes of Health; MAYDAY Fund","keywords":"Nociception; Anesthesia; Medicine; Somatosensory system; Functional near-infrared spectroscopy; Neuroscience; Psychology; Prefrontal cortex; Cognition; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005163925,0.0001250456,0.00020543,0.0000965342,0.0008201736,0.00003400421,0.0005632033,0.00003050869,0.0003574121],"category_scores_gemma":[0.00009420866,0.0001323216,0.000108575,0.0002891799,0.0001355484,0.00007222482,0.0004210575,0.000605155,0.00002221078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004062819,"about_ca_system_score_gemma":0.0001467603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001194545,"about_ca_topic_score_gemma":0.00001058788,"domain_scores_codex":[0.9986954,0.0002579712,0.0002469844,0.0002073265,0.0003284389,0.0002638188],"domain_scores_gemma":[0.998007,0.00006597691,0.00006228499,0.001641507,0.00009859361,0.0001246219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005542914,0.004094705,0.2695157,0.0003351231,0.0004702474,0.0004221631,0.003396829,0.00009025223,0.5470908,0.1309505,0.02495168,0.01812782],"study_design_scores_gemma":[0.005225287,0.001886235,0.5943205,0.0003261783,0.0006148565,0.005290416,0.001876085,0.05684902,0.02977182,0.007940377,0.2938335,0.00206576],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9558352,0.00104738,0.0006430731,0.01688224,0.00003625205,0.0004483041,0.000005150372,0.0008238247,0.02427857],"genre_scores_gemma":[0.9714614,0.00006446215,0.02414369,0.001158676,0.00004433362,0.0001697232,0.0000484564,0.00003327775,0.00287599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.517319,"threshold_uncertainty_score":0.6308196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03925967046720594,"score_gpt":0.2986324475647334,"score_spread":0.2593727770975275,"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."}}