{"id":"W3114929312","doi":"10.2196/22732","title":"Text Messaging and Web-Based Survey System to Recruit Patients With Low Back Pain and Collect Outcomes in the Emergency Department: Observational Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emergency department; Medicine; mHealth; Short Message Service; Text messaging; Low back pain; Observational study; Telephone call; Physical therapy; Medical emergency; Internal medicine; Alternative medicine; World Wide Web; Psychological intervention; Nursing","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":[0.01073796,0.0006942598,0.000985403,0.001193794,0.0009229264,0.0009544384,0.0006666991,0.001067532,0.001714256],"category_scores_gemma":[0.02406191,0.0009044437,0.001191642,0.001462588,0.0005274334,0.001389604,0.00124989,0.001624051,0.0008821456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066778,"about_ca_system_score_gemma":0.002128014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003472958,"about_ca_topic_score_gemma":0.003426458,"domain_scores_codex":[0.9903585,0.005881927,0.001194067,0.0006808149,0.001261707,0.0006230313],"domain_scores_gemma":[0.9810442,0.006229731,0.006315341,0.001460834,0.002973748,0.001975995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006905563,0.01679212,0.9511787,0.0006227826,0.00058405,0.0002474012,0.00310209,0.0002431698,0.0006358118,0.00006056376,0.001815559,0.01781208],"study_design_scores_gemma":[0.005271606,0.05756603,0.9260471,0.0002617041,0.0005116671,0.0005157416,0.003966441,0.003107293,0.0004528876,0.00007006534,0.002137638,0.00009185469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973373,0.00009557339,0.0004126832,0.00006999278,0.00001335444,0.001377902,0.0004090944,0.00001062099,0.0002736189],"genre_scores_gemma":[0.9930589,0.0002242992,0.001671404,0.0004791355,0.00006728856,0.003377253,0.0008075181,0.00001138271,0.0003028376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01073796,"threshold_uncertainty_score":0.05678844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1576279614391523,"score_gpt":0.437828919416771,"score_spread":0.2802009579776187,"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."}}