{"id":"W2910564201","doi":"10.2196/10938","title":"Effect of a Mobile App on Preoperative Patient Preparation for Major Ambulatory Surgery: Protocol for a Randomized Controlled Trial","year":2019,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Enhanced Recovery After Surgery","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto de Salud Carlos III; Ministerio de Economía y Competitividad","keywords":"Randomized controlled trial; Ambulatory; Medicine; Protocol (science); Mobile apps; Surgery; Computer science; Alternative medicine; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02979944,0.006412176,0.01273795,0.002506397,0.003144523,0.004402953,0.002887785,0.007516128,0.06879617],"category_scores_gemma":[0.02767502,0.00248182,0.005899841,0.003117328,0.003663933,0.003624636,0.001736394,0.007516342,0.01007896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004612643,"about_ca_system_score_gemma":0.01264753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002030288,"about_ca_topic_score_gemma":0.003656643,"domain_scores_codex":[0.9791555,0.01199138,0.002596535,0.001770933,0.002479948,0.002005741],"domain_scores_gemma":[0.9862188,0.004139177,0.003107029,0.001576462,0.003535112,0.001423492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9025502,0.01957607,0.0008030114,0.03108059,0.003457316,0.000275392,0.0004621644,0.001522672,0.002334307,0.002950517,0.01205926,0.02292855],"study_design_scores_gemma":[0.9480798,0.02538783,0.001734654,0.003501202,0.001285892,0.00004343564,0.0001476314,0.001405699,0.0006614911,0.001640969,0.016022,0.00008934721],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.001560916,0.0002465135,0.0005903522,0.000116016,0.0002968579,0.9962537,0.0004703019,0.00005796898,0.0004073113],"genre_scores_gemma":[0.001543016,0.0001045898,0.0008984628,0.0001166904,0.00003807024,0.9970092,0.00006258199,0.000003480663,0.0002239365],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.06879617,"threshold_uncertainty_score":0.2301461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05998487564159602,"score_gpt":0.5022306219421793,"score_spread":0.4422457463005832,"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."}}