{"id":"W4281790153","doi":"10.3310/hlze0479","title":"Digital smartphone intervention to recognise and manage early warning signs in schizophrenia to prevent relapse: the EMPOWER feasibility cluster RCT","year":2022,"lang":"en","type":"article","venue":"Health Technology Assessment","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Health and Medical Research Council; Health Technology Assessment Programme; Medical Research Council; National Institutes of Health; University of Aberdeen; University of Southampton; National Institute for Health and Care Research; Northwestern University","keywords":"Medicine; Randomized controlled trial; Intervention (counseling); Psychological intervention; Relapse prevention; Psychiatry; Cluster randomised controlled trial; Short Message Service; Physical therapy; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007021779,0.001504403,0.002355876,0.00102195,0.00106051,0.001463311,0.0008748602,0.002510475,0.01078451],"category_scores_gemma":[0.01114316,0.0008232222,0.004582785,0.0007556623,0.001390558,0.001798021,0.002345347,0.001906553,0.001110127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002366822,"about_ca_system_score_gemma":0.006648078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006643995,"about_ca_topic_score_gemma":0.009445266,"domain_scores_codex":[0.9946933,0.003348182,0.0006130965,0.0003619126,0.0003938162,0.000589711],"domain_scores_gemma":[0.9959747,0.001642544,0.0008752752,0.000505665,0.0004652801,0.0005364744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.7582549,0.05848492,0.00692197,0.02951814,0.006486331,0.0003416,0.002352123,0.001465827,0.00239538,0.001316762,0.005097048,0.1273649],"study_design_scores_gemma":[0.8046681,0.1617679,0.0165282,0.003540877,0.004665972,0.0001114863,0.001031863,0.0006137722,0.0007204115,0.0009830976,0.005262153,0.0001062622],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8609769,0.005177053,0.001819007,0.001864966,0.0006854195,0.1200908,0.003429839,0.0002156192,0.005740491],"genre_scores_gemma":[0.8309963,0.003450783,0.01148977,0.001507584,0.0003680179,0.1480375,0.0008292383,0.00002898284,0.003291942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01078451,"threshold_uncertainty_score":0.03713518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02930196098417321,"score_gpt":0.4034275214409624,"score_spread":0.3741255604567892,"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."}}