{"id":"W4241972023","doi":"10.2196/preprints.20455","title":"Improving Provision of Preanesthetic Information Through Use of the Digital Conversational Agent “MyAnesth”: Prospective Observational Trial (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Music Therapy and Health","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Observational study; Medicine; Likert scale; Perioperative; Anesthesia; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048872,0.0008075759,0.001856904,0.0003983209,0.0005152824,0.001111412,0.0006411453,0.001613749,0.004326327],"category_scores_gemma":[0.005838845,0.0005002021,0.002529994,0.000878055,0.0008193186,0.001235956,0.0004549848,0.0013836,0.0004567509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007629461,"about_ca_system_score_gemma":0.002055643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223288,"about_ca_topic_score_gemma":0.001377956,"domain_scores_codex":[0.9959937,0.002724227,0.000458069,0.0003297562,0.000234765,0.0002594914],"domain_scores_gemma":[0.99552,0.001895795,0.001298886,0.0004181497,0.0002998784,0.0005672607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.9040617,0.0405002,0.02035184,0.002384826,0.003748005,0.0000624673,0.0002466835,0.0002474709,0.0007630977,0.0001246431,0.000723064,0.02678585],"study_design_scores_gemma":[0.4220477,0.5280735,0.0423894,0.0004409445,0.004053406,0.00006365318,0.0002712028,0.0006735307,0.0006987726,0.0001673976,0.001071678,0.00004879551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991653,0.003306394,0.0003828097,0.0002206205,0.0001767421,0.003244828,0.0004763114,0.00001897225,0.0005203809],"genre_scores_gemma":[0.9880662,0.002488696,0.001363738,0.0004763852,0.0005169651,0.006041436,0.0005931558,0.000005690538,0.0004476495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0048872,"threshold_uncertainty_score":0.02584624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1224712660885311,"score_gpt":0.3329407323998121,"score_spread":0.2104694663112811,"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."}}