{"id":"W2897077740","doi":"10.2196/11730","title":"Public Views on Using Mobile Phone Call Detail Records in Health Research: Qualitative Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Natural Environment Research Council; Sight Research UK","keywords":"Mobile phone; Phone; Public health; Qualitative research; Computer science; Internet privacy; Data science; Medicine; Telecommunications; Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0117824,0.0003013914,0.0009863088,0.0007830816,0.0005778296,0.00004836576,0.0001973247,0.0001150864,0.0001280269],"category_scores_gemma":[0.0006383752,0.000262787,0.00005470437,0.00154552,0.0003918479,0.0001828241,0.0001293928,0.0009745338,0.0001653839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113001,"about_ca_system_score_gemma":0.003219585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005465934,"about_ca_topic_score_gemma":0.01123315,"domain_scores_codex":[0.9910528,0.004190023,0.001234674,0.0009620485,0.0009776611,0.001582803],"domain_scores_gemma":[0.9959486,0.0005272334,0.0003882817,0.000863946,0.0004573386,0.001814576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.01064168,0.01894526,0.2212695,0.01312838,0.0001686897,0.0002758332,0.3361242,0.000004470543,0.00007054536,0.001153972,0.1208442,0.2773733],"study_design_scores_gemma":[0.01723816,0.04158688,0.6777133,0.00182894,0.00004690062,0.00007587277,0.1033267,0.001597101,0.00001352557,0.0007321999,0.1549059,0.000934522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870445,0.001828623,0.00002867637,0.005361443,0.000269286,0.00416278,0.0001433944,0.0001064301,0.001054837],"genre_scores_gemma":[0.9921744,0.0008760249,0.0007261989,0.004931075,0.0004643418,0.000359203,0.00009406463,0.00005750683,0.000317203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4564439,"threshold_uncertainty_score":0.9999824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.524494258507066,"score_gpt":0.5672514195706141,"score_spread":0.0427571610635481,"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."}}