{"id":"W4247132902","doi":"10.1017/cem.2016.121","title":"LO084: Text messaging research participants as a follow-up strategy to decrease emergency department study attrition","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Schwartz/Reisman Emergency Medicine Institute","funders":"","keywords":"Medicine; Emergency department; Attrition; Telephone call; Randomized controlled trial; Telephone interview; Emergency medicine; Family medicine; Physical therapy; Internal medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07820354,0.0007964316,0.001044159,0.002368738,0.005289356,0.00316927,0.003752261,0.005142374,0.06581375],"category_scores_gemma":[0.161052,0.001198669,0.001426295,0.001092991,0.0008390241,0.004534695,0.006737688,0.00403001,0.01431564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577875,"about_ca_system_score_gemma":0.01453756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146,"about_ca_topic_score_gemma":0.004627196,"domain_scores_codex":[0.9635324,0.0252129,0.004203179,0.001892613,0.002422108,0.00273676],"domain_scores_gemma":[0.8776881,0.05209977,0.01412002,0.01654633,0.013307,0.02623889],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03104039,0.02107798,0.0409451,0.002573925,0.0005670472,0.0004588844,0.007194063,0.000374185,0.003673599,0.001617363,0.1978848,0.6925927],"study_design_scores_gemma":[0.1162092,0.07139808,0.3704571,0.008518693,0.003879685,0.001295634,0.01643852,0.01369041,0.02288521,0.01662253,0.3574996,0.001105216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5819001,0.001984359,0.06355698,0.1038494,0.009295252,0.1345038,0.008672485,0.01997413,0.07626345],"genre_scores_gemma":[0.5511866,0.0005898108,0.133843,0.03754846,0.002712384,0.2351818,0.002979794,0.001195058,0.03476314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9217964,"threshold_uncertainty_score":0.4135848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7573589519310964,"score_gpt":0.6257708539559256,"score_spread":0.1315880979751708,"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."}}