{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.002102385,0.0005750351,0.001521364,0.001198412,0.001822903,0.00004251982,0.000311973,0.004323522,0.0005728351],"category_scores_gemma":[0.002330886,0.0005609927,0.0003705941,0.0007513696,0.00009542844,0.0002248682,0.0001478282,0.006390221,0.001117037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007462576,"about_ca_system_score_gemma":0.003871246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002705248,"about_ca_topic_score_gemma":0.0001668753,"domain_scores_codex":[0.9937704,0.0007143644,0.001960465,0.001118036,0.0003088084,0.002127895],"domain_scores_gemma":[0.9818817,0.01437242,0.00147049,0.001247903,0.000869518,0.0001579585],"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":[0.00009827465,0.00002587152,0.001224678,0.002774222,0.00004544602,0.0007483679,0.0002108654,0.000001359359,0.000009064547,0.0001467168,0.9267757,0.06793943],"study_design_scores_gemma":[0.0005870415,0.00006388547,0.00008580808,0.001380266,0.00005785608,0.0004455963,0.0003611762,0.00004396871,0.000007483685,0.0004876387,0.9960049,0.0004743545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003934092,0.00131246,0.001917471,0.9698948,0.006769973,0.01205299,0.001114599,0.0005082333,0.002495398],"genre_scores_gemma":[0.002742374,0.0004548507,0.001353076,0.9357131,0.008093991,0.0400337,0.00148969,0.0002551773,0.009864027],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06922922,"threshold_uncertainty_score":0.9996842,"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."}}