{"id":"W3128278267","doi":"10.2196/24570","title":"Digital Medicine Community Perspectives and Challenges: Survey Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Interoperability; Digital health; Computer science; World Wide Web; Digital library; Medicine; Data science; Health care; Political science","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":[0.01431012,0.0002392695,0.0005869598,0.005227872,0.003787996,0.005326857,0.0008959532,0.001567467,0.005512902],"category_scores_gemma":[0.04140988,0.0005353025,0.0006384882,0.005840279,0.002019522,0.008987119,0.009058289,0.002012025,0.001042568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004143185,"about_ca_system_score_gemma":0.007924052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009042731,"about_ca_topic_score_gemma":0.01010028,"domain_scores_codex":[0.9873655,0.00558439,0.001981311,0.001020837,0.002120278,0.001927653],"domain_scores_gemma":[0.9559613,0.02038513,0.008391441,0.0009796573,0.00776302,0.006519437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008808741,0.0003582743,0.562718,0.002041247,0.00006883749,0.0009428659,0.3504547,0.0001014614,0.0003478224,0.002806545,0.01107852,0.06899366],"study_design_scores_gemma":[0.00002083566,0.0002023961,0.1766287,0.00149358,0.00003091124,0.001016211,0.7761333,0.0003122372,0.0001551187,0.0006352033,0.04332477,0.00004670754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762802,0.002414191,0.0007353349,0.009900426,0.00008471566,0.0004083505,0.001296491,0.00002073172,0.008859637],"genre_scores_gemma":[0.9868514,0.004738858,0.001499703,0.004316804,0.0001125966,0.0005279602,0.0006881038,0.00002033682,0.001244283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01431012,"threshold_uncertainty_score":0.07568008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2658431170560304,"score_gpt":0.4960030043536908,"score_spread":0.2301598872976604,"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."}}