{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01317953,0.0003543344,0.003124759,0.0005272506,0.0001195582,0.00006558337,0.0001466447,0.0002566302,0.000190293],"category_scores_gemma":[0.00512229,0.0002198051,0.001326905,0.0003060817,0.0001786343,0.0001967973,0.00006153823,0.0003780603,0.0000374457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002203753,"about_ca_system_score_gemma":0.0009152378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003522372,"about_ca_topic_score_gemma":0.000001108559,"domain_scores_codex":[0.9927499,0.003282117,0.001447972,0.0006897915,0.001159379,0.000670887],"domain_scores_gemma":[0.9765359,0.02091164,0.0005943617,0.0007217646,0.001055442,0.0001809334],"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":[0.9752097,0.001816603,0.0001106223,0.006423066,0.0003109498,0.000002176148,0.0002837744,0.00002650219,0.00627651,0.0000558641,0.007262875,0.002221379],"study_design_scores_gemma":[0.7733362,0.05438603,0.000005691805,0.00371076,0.00002313733,0.000001260033,0.00001158515,0.0007672112,0.1539364,0.00005419056,0.01360626,0.0001612383],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.08415514,0.000001339092,0.0001561727,0.00003618654,0.00004119276,0.9148827,0.0000256853,0.0000689806,0.000632633],"genre_scores_gemma":[0.01534197,7.930704e-8,0.0001978018,0.00003259702,0.0002426319,0.9815305,0.00003041093,0.0000725475,0.002551388],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.2018735,"threshold_uncertainty_score":0.8963391,"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."}}