{"id":"W3216399934","doi":"10.1007/s10877-021-00781-2","title":"Current trends in anesthetic depth and antinociception monitoring: an international survey","year":2021,"lang":"en","type":"article","venue":"Journal of Clinical Monitoring and Computing","topic":"Anesthesia and Sedative Agents","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Medicine; Hypnosis; Anesthesiology; Hypnotic; Anesthesia; Anesthetic; Perioperative; Sedation; Intensive care; Intensive care medicine; Alternative 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":[0.001509538,0.0000950661,0.0003912369,0.0001286318,0.00004656376,0.00004774721,0.00006213792,0.00006965858,0.000003413941],"category_scores_gemma":[0.0004084229,0.00008069464,0.00007789068,0.0001439961,0.00004122902,0.0001417914,0.00003950486,0.0004729686,5.082812e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001979335,"about_ca_system_score_gemma":0.00004955599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000124709,"about_ca_topic_score_gemma":0.00000104993,"domain_scores_codex":[0.9983824,0.0002907174,0.0007652809,0.0001802959,0.0002522602,0.0001290233],"domain_scores_gemma":[0.9988378,0.0003242556,0.0003169551,0.0000820603,0.0002576172,0.0001812691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008624181,0.0001630909,0.6787644,0.00000843849,0.00001750332,0.0001383456,0.0001366084,0.000008803212,0.00005879749,0.000003268341,0.000002058639,0.3206125],"study_design_scores_gemma":[0.001383845,0.0003074124,0.9959949,0.0004837294,0.00003152258,0.0004554104,0.0002456493,0.0005991376,0.0001458559,0.00001468788,0.0002678057,0.00007004225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976717,0.0006633669,0.0001212882,0.0001569747,0.001309741,0.00001890412,2.493791e-7,0.000006209829,0.00005156959],"genre_scores_gemma":[0.9959153,0.0009570665,0.001307535,0.00001228782,0.001771596,1.421483e-7,0.00000314233,0.000008496538,0.00002442979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3205424,"threshold_uncertainty_score":0.3290632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1870071407465188,"score_gpt":0.4818814213096772,"score_spread":0.2948742805631585,"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."}}