{"id":"W3034409120","doi":"10.2196/15284","title":"Comparing a Mobile Phone Automated System With a Paper and Email Data Collection System: Substudy Within a Randomized Controlled Trial","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"Data collection; Medicine; mHealth; Randomized controlled trial; Mobile phone; Phone; Medical emergency; Computer science; Nursing; Psychological intervention; Surgery; Telecommunications; Statistics","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":[0.02961165,0.001960242,0.005598936,0.001373948,0.001280505,0.002326831,0.00141911,0.003924519,0.005653488],"category_scores_gemma":[0.03585969,0.001425312,0.005868078,0.002094284,0.002440442,0.002713826,0.001494551,0.003306977,0.0007640691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00292386,"about_ca_system_score_gemma":0.005482895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003014621,"about_ca_topic_score_gemma":0.004814384,"domain_scores_codex":[0.9496837,0.03980591,0.004687418,0.00220849,0.001963059,0.001651482],"domain_scores_gemma":[0.9687373,0.0140181,0.008508212,0.003437614,0.003013466,0.002285277],"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":[0.9544833,0.01884267,0.003184354,0.002931849,0.005188017,0.00006635837,0.0002987492,0.0003709923,0.0008005947,0.0001813078,0.0004549796,0.01319686],"study_design_scores_gemma":[0.7714881,0.219502,0.004115972,0.0003644802,0.002705403,0.00003009957,0.0001120026,0.0006255435,0.0002937823,0.0001390082,0.0005965746,0.00002697177],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9016261,0.005116808,0.003166867,0.0007275169,0.001149837,0.0850824,0.001176149,0.0001761971,0.001778158],"genre_scores_gemma":[0.8658661,0.002498595,0.01173618,0.001214969,0.00143043,0.1153062,0.0007180879,0.00002881303,0.001200787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02961165,"threshold_uncertainty_score":0.1566032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09213534657916779,"score_gpt":0.4190245071006578,"score_spread":0.32688916052149,"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."}}