{"id":"W4404100125","doi":"10.2196/64636","title":"Baseline Smartphone App Survey Return in the Electronic Framingham Heart Study Offspring and Omni 1 Study: eCohort Study","year":2024,"lang":"en","type":"article","venue":"JMIR Aging","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; National Institute on Aging; National Institutes of Health","keywords":"Preprint; Smartphone app; Baseline (sea); Offspring; Mobile apps; Smartphone application; Computer science; Internet privacy; World Wide Web; Multimedia; Political science; Biology","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":[0.01638933,0.0002981445,0.0005128289,0.0003362542,0.001227619,0.00007330345,0.0003260188,0.000110364,0.0001116423],"category_scores_gemma":[0.0002450452,0.0002280748,0.00003990777,0.001248533,0.00003148564,0.0001396796,0.0002144329,0.002283846,0.0001247864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003096231,"about_ca_system_score_gemma":0.0007991571,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007112122,"about_ca_topic_score_gemma":0.03950404,"domain_scores_codex":[0.9924617,0.003774855,0.001158864,0.0008852173,0.0004977752,0.001221581],"domain_scores_gemma":[0.9962612,0.002401886,0.0001342858,0.0008632804,0.0001010457,0.0002383263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004631424,0.00155234,0.9667255,0.000261871,0.00003741315,0.00002429794,0.02224083,0.000003727118,0.000007873398,0.00005249877,0.003457502,0.005589821],"study_design_scores_gemma":[0.001310495,0.0005733145,0.9309738,0.000126786,0.00004242008,0.000004164833,0.04149007,0.0009088903,3.271411e-7,0.00005618723,0.02433146,0.000182109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748976,0.001287661,0.00009030545,0.001546249,0.0004039647,0.02117337,0.00001379905,0.0002662701,0.0003208119],"genre_scores_gemma":[0.975379,0.0001050577,0.00001835845,0.001323817,0.000384827,0.02229732,0.00002442695,0.00006125891,0.0004059555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03575174,"threshold_uncertainty_score":0.9994996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04506543923896666,"score_gpt":0.4402892720897489,"score_spread":0.3952238328507823,"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."}}