{"id":"W2981368998","doi":"10.1001/jamasurg.2019.4703","title":"Tracking Postoperative Recovery—Making a Case for Smartphone Technology","year":2019,"lang":"en","type":"letter","venue":"JAMA Surgery","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Otorhinolaryngology; Family medicine; Neurology; MEDLINE; General surgery; Psychiatry","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":[0.003374262,0.0005101184,0.0004110211,0.0009827923,0.005431897,0.004025645,0.001996654,0.01595574,0.008984147],"category_scores_gemma":[0.04039676,0.0004813188,0.0007531651,0.0008959933,0.002581409,0.008099478,0.002436893,0.02094782,0.003388014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002671504,"about_ca_system_score_gemma":0.004392186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005314289,"about_ca_topic_score_gemma":0.01559807,"domain_scores_codex":[0.9967758,0.0009724025,0.0004774267,0.0003799369,0.0007728956,0.000621541],"domain_scores_gemma":[0.9771348,0.01303845,0.001743943,0.001118437,0.002664512,0.004299801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000135136,0.0002742416,0.01919445,0.0001682373,0.00003426021,0.115472,0.006079847,0.0003301357,0.0005717168,0.009368272,0.7363073,0.1120644],"study_design_scores_gemma":[0.00008577278,0.0003763321,0.00928443,0.00321169,0.00009017458,0.242904,0.03237252,0.003718149,0.0009450238,0.04900109,0.6578047,0.0002061974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007365195,0.0009993305,0.0011837,0.9708605,0.004876465,0.00003190834,0.00003952936,0.0001135945,0.01452972],"genre_scores_gemma":[0.2082254,0.007006636,0.01400906,0.7158075,0.01863389,0.0002241969,0.0001298385,0.0002487738,0.03571476],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01595574,"threshold_uncertainty_score":0.03005499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08569166261282599,"score_gpt":0.4154893907451257,"score_spread":0.3297977281322997,"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."}}