{"id":"W4248905055","doi":"10.1016/j.aan.2007.07.006","title":"Automated Anesthesia","year":2007,"lang":"en","type":"article","venue":"Advances in Anesthesia","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Montreal General Hospital; McGill University","funders":"National Aeronautics and Space Administration","keywords":"Medicine; Human body; Intensive care medicine; Anesthesia","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":[0.0008018803,0.0006439151,0.0004340368,0.001298234,0.0006476711,0.002399719,0.001004623,0.0008332724,0.02242133],"category_scores_gemma":[0.00329931,0.0003259715,0.0004194965,0.0008514483,0.0004211666,0.0016115,0.001184214,0.0007378124,0.01111347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006542079,"about_ca_system_score_gemma":0.001200657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001147548,"about_ca_topic_score_gemma":0.001111453,"domain_scores_codex":[0.9986047,0.0002117528,0.00005798714,0.0003029588,0.0007084655,0.0001142453],"domain_scores_gemma":[0.9981766,0.0003662725,0.0001307241,0.0006372885,0.0006188295,0.00007016273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000289553,0.0001703429,0.005078217,0.0001559882,0.00006107202,0.0001579776,0.0001083764,0.009637237,0.01100538,0.03941695,0.07689296,0.8570258],"study_design_scores_gemma":[0.00009122085,0.0003226974,0.01428727,0.0001865226,0.0001275141,0.001138675,0.0002123868,0.3300746,0.05789661,0.07035978,0.5251849,0.0001177342],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04069064,0.004362394,0.6698149,0.003573603,0.002882117,0.0005274942,0.003035679,0.02128217,0.253831],"genre_scores_gemma":[0.6035637,0.002481492,0.2677657,0.001541888,0.001727927,0.0002588062,0.005651822,0.001024402,0.1159842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02242133,"threshold_uncertainty_score":0.07500684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668835720462004,"score_gpt":0.34661747332925,"score_spread":0.32992911612463,"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."}}