{"id":"W3204860540","doi":"10.2196/24332","title":"Implementation Outcome Scales for Digital Mental Health (iOSDMH): Scale Development and Cross-sectional Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Mental health; Psychological intervention; Cronbach's alpha; Scale (ratio); Exploratory factor analysis; Harm; Psychology; Applied psychology; Consistency (knowledge bases); Nursing; Medical education; Medicine; Clinical psychology; Psychometrics; Computer science; Psychiatry; Social psychology","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":[0.001436375,0.0001493797,0.0002117736,0.0002370136,0.000925414,0.0004567784,0.0001504792,0.00005233168,0.0002917167],"category_scores_gemma":[0.00002435638,0.000146172,0.00008274613,0.000315716,0.0001680826,0.0007582637,0.0002905057,0.0002534707,0.0002705733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006318427,"about_ca_system_score_gemma":0.0001911712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005262665,"about_ca_topic_score_gemma":0.0005327871,"domain_scores_codex":[0.9971006,0.0002227735,0.0008976605,0.0004120055,0.0006660226,0.0007009692],"domain_scores_gemma":[0.9989011,0.000197189,0.0001331506,0.0001904305,0.000329744,0.0002483976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000222869,0.003064774,0.8716447,0.0002587375,0.0001251097,0.000004541014,0.02050686,1.310568e-7,0.000005604427,0.003128782,0.005346477,0.09569147],"study_design_scores_gemma":[0.002296672,0.001572579,0.9598832,0.00002887129,8.658447e-7,0.00003305412,0.02769497,0.000005663046,0.0002393516,0.0005887506,0.007527565,0.0001284535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927341,0.0001117129,0.0002425017,0.000899943,0.0006339461,0.002186471,0.0007766471,0.00004204702,0.00237259],"genre_scores_gemma":[0.9943394,0.000001013957,0.0002789863,0.00008176712,0.00005121471,0.001549292,0.0005908731,0.00002265661,0.003084816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09556302,"threshold_uncertainty_score":0.711763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2087525435298142,"score_gpt":0.6061882369465559,"score_spread":0.3974356934167417,"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."}}