{"id":"W4407564810","doi":"10.2196/64919","title":"Pursuit of Digital Innovation in Psychiatric Data Handling Practices in Ireland: Comprehensive Case Study","year":2025,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Psychology; Data science; Psychiatry; Computer science; World Wide Web","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":[0.00766651,0.0004572327,0.0004433036,0.002595175,0.006769745,0.005502762,0.002630738,0.003074635,0.001977147],"category_scores_gemma":[0.01858244,0.0005886924,0.0008605463,0.002901506,0.005904603,0.003795007,0.006970024,0.003086119,0.0004839623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009224493,"about_ca_system_score_gemma":0.007436992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01184149,"about_ca_topic_score_gemma":0.03020976,"domain_scores_codex":[0.988408,0.006749503,0.0006366526,0.0005471868,0.001849537,0.00180916],"domain_scores_gemma":[0.9809209,0.01024934,0.00362876,0.001454299,0.001332151,0.002414614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000236784,0.001999707,0.1316874,0.001830321,0.00009306766,0.1450345,0.6051082,0.0008417755,0.001396833,0.01478114,0.009866134,0.08712411],"study_design_scores_gemma":[0.00004412545,0.0005629768,0.04353796,0.001485181,0.00006968965,0.06060314,0.8404655,0.001669178,0.001549522,0.002392094,0.04749947,0.0001211358],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982239,0.001183562,0.001630426,0.003766308,0.00003582826,0.0003747497,0.0001028904,0.00002323416,0.01064399],"genre_scores_gemma":[0.9912641,0.002297397,0.003135633,0.0009409255,0.00003976137,0.0002147848,0.00007287294,0.00002055284,0.002014044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01184149,"threshold_uncertainty_score":0.06692868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1998461123264855,"score_gpt":0.5097863603824234,"score_spread":0.3099402480559379,"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."}}