{"id":"W2413480776","doi":"10.1177/0091217416652616","title":"Validating screening tools for depression in stroke and transient ischemic attack patients","year":2016,"lang":"en","type":"article","venue":"The International Journal of Psychiatry in Medicine","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"Institute of Circulatory and Respiratory Health; Canada Research Chairs; Alberta Innovates - Health Solutions; University of Alberta; Cumming School of Medicine, University of Calgary; University of Calgary; Canadian Institutes of Health Research; AstraZeneca Canada","keywords":"Patient Health Questionnaire; Medicine; Receiver operating characteristic; Depression (economics); Hospital Anxiety and Depression Scale; Stroke (engine); Geriatric Depression Scale; Outpatient clinic; Anxiety; Physical therapy; Internal medicine; Psychiatry; Depressive symptoms","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01607567,0.0005699068,0.0008731093,0.001413221,0.0004180183,0.0008194739,0.0008064954,0.0008296026,0.0006526523],"category_scores_gemma":[0.03446791,0.0002831382,0.0008961193,0.001395629,0.000558361,0.0005815875,0.0009065009,0.0005796031,0.0003517057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006743104,"about_ca_system_score_gemma":0.001462339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002386746,"about_ca_topic_score_gemma":0.005189267,"domain_scores_codex":[0.9877796,0.006530816,0.001815215,0.0006663986,0.002700513,0.0005074637],"domain_scores_gemma":[0.9853527,0.005880819,0.003681639,0.0005665464,0.004000438,0.0005178993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000495705,0.0003894326,0.9682188,0.0002969161,0.0002321601,0.00006369469,0.0003814962,0.0003266981,0.0006631099,0.00008720889,0.001097159,0.02774771],"study_design_scores_gemma":[0.0002749009,0.001491602,0.9917807,0.000352567,0.0001973774,0.0003601817,0.00031558,0.002369281,0.001087531,0.0001556028,0.001592488,0.00002232931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883323,0.002489419,0.003204734,0.0006145769,0.0001293577,0.001398527,0.001538202,0.00005147949,0.002241409],"genre_scores_gemma":[0.9870321,0.0007729608,0.008822432,0.0003444396,0.00005599662,0.0008961523,0.001795806,0.000005592993,0.00027454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01607567,"threshold_uncertainty_score":0.08501726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03251251988036363,"score_gpt":0.344706786057129,"score_spread":0.3121942661767653,"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."}}