{"id":"W4386726595","doi":"10.2196/25908","title":"Consumers’ Preferences for Purchasing mHealth Apps: Discrete Choice Experiment","year":2023,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Purchasing; Business; Consumption (sociology); Affect (linguistics); Preference; Mixed logit; Marketing; Internet privacy; Logistic regression; Health care; Psychology; Advertising; Medicine; Computer science; Economics","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":[0.008690307,0.0006054317,0.0007367865,0.0002860228,0.0006958264,0.001371163,0.0005846995,0.001106926,0.005465665],"category_scores_gemma":[0.007907542,0.0006108333,0.001059652,0.0003648084,0.0007673461,0.0009860966,0.000550102,0.001449046,0.0005698286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007344721,"about_ca_system_score_gemma":0.001099086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002110493,"about_ca_topic_score_gemma":0.001919956,"domain_scores_codex":[0.9968697,0.00181437,0.0003195911,0.000308957,0.0004204301,0.0002670006],"domain_scores_gemma":[0.9913197,0.006388512,0.000873478,0.000480522,0.0004931359,0.0004446734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.128437,0.2536893,0.4359004,0.001975473,0.001582037,0.001136464,0.02050017,0.01843378,0.04649862,0.006365637,0.003531206,0.08194987],"study_design_scores_gemma":[0.04004739,0.2964915,0.4454705,0.0002656969,0.001673271,0.0004089245,0.01037175,0.1526607,0.03239988,0.008246179,0.01129187,0.0006723693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962211,0.00001547962,0.0009750539,0.00007135079,0.00001738896,0.001799984,0.0001931622,0.00001027738,0.0006962613],"genre_scores_gemma":[0.9816327,0.00008030423,0.008798194,0.0002693014,0.0000207653,0.006965599,0.0002648664,0.000004317066,0.001964061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008690307,"threshold_uncertainty_score":0.04595929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1753479567569133,"score_gpt":0.512416084010536,"score_spread":0.3370681272536226,"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."}}