{"id":"W2404341110","doi":"10.2196/medinform.5401","title":"A Legal Framework to Support Development and Assessment of Digital Health Services","year":2016,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital health; Internet privacy; Health care; Health data; Health services; Business; Information privacy; Computer science; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001067768,0.0001453795,0.0003956498,0.0001243887,0.0003595445,0.00001113742,0.0002404612,0.0002475818,0.000494826],"category_scores_gemma":[0.0001083508,0.00009299019,0.00002482322,0.0002146221,0.00007035759,0.0002550616,0.0002428811,0.0004674949,0.0002617634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001930457,"about_ca_system_score_gemma":0.004520387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002717732,"about_ca_topic_score_gemma":0.00006072403,"domain_scores_codex":[0.9966087,0.00005928367,0.001784741,0.0001295769,0.0007497677,0.0006679296],"domain_scores_gemma":[0.9967967,0.0005692026,0.000511676,0.0003142221,0.0001369275,0.001671313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003194942,0.0001618629,0.03393111,0.006863391,0.00001825273,0.0000011755,0.01626437,1.256656e-7,0.000001040426,0.06773639,0.0136999,0.8612905],"study_design_scores_gemma":[0.0007542338,0.0002500894,0.01945214,0.001823884,0.000002448766,0.000004246882,0.00371691,0.00008217715,0.000002903254,0.0004043565,0.973392,0.0001146631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7393022,0.0001300542,0.1392027,0.05680013,0.00111217,0.01363859,0.0003535417,0.0004531389,0.04900743],"genre_scores_gemma":[0.8701492,0.0004076203,0.07883659,0.04272785,0.0002819978,0.006672942,0.00008506954,0.00003273293,0.0008060068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9596921,"threshold_uncertainty_score":0.8018973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03485311583664975,"score_gpt":0.4626622406092599,"score_spread":0.4278091247726102,"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."}}