{"id":"W4394942613","doi":"10.2196/51859","title":"Landscape of Digital Technologies Used in the National Health Service in England: Content Analysis","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital health; Content analysis; Health care; Digital content; Health technology; Knowledge management; Data science; Geography; Computer science; World Wide Web; Sociology; Political science; Social 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":[0.005758573,0.0001899435,0.0003037798,0.01099515,0.001491177,0.004341331,0.0004884562,0.0004775638,0.002358832],"category_scores_gemma":[0.03099194,0.000267503,0.0002921316,0.01581242,0.002665668,0.003609225,0.002857276,0.0005271909,0.0002998715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007709383,"about_ca_system_score_gemma":0.006150668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0393251,"about_ca_topic_score_gemma":0.03289066,"domain_scores_codex":[0.9935679,0.002843353,0.001282477,0.0005157106,0.00135997,0.0004306052],"domain_scores_gemma":[0.9585533,0.02940428,0.00546084,0.0009442304,0.004815396,0.0008219831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008339023,0.0000418329,0.1639548,0.003592238,0.0000425478,0.001736639,0.7119629,0.0003873162,0.002560313,0.008109002,0.008963046,0.09856593],"study_design_scores_gemma":[0.000008355995,0.0000613966,0.2906881,0.002463521,0.00003488785,0.0009221651,0.598972,0.0009233161,0.0009101194,0.001346935,0.1036064,0.00006274119],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732984,0.00243258,0.002202196,0.003418236,0.00003864098,0.0005495358,0.006242737,0.00005137223,0.01176617],"genre_scores_gemma":[0.9832245,0.003753982,0.00539038,0.0005270111,0.00003871829,0.0007720066,0.003396578,0.00004542563,0.002851493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0393251,"threshold_uncertainty_score":0.07819235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2219516448484416,"score_gpt":0.524022399203374,"score_spread":0.3020707543549324,"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."}}