{"id":"W3205765608","doi":"","title":"THE INFLUENCE OF RISK FACTORS AND THE DEGREE OF LOSS OF EMPLOYMENT ON THE DEVELOPMENT OF POST-STROKE DEPRESSION AND ANXIETY IN PATIENTS WITH CVA","year":2021,"lang":"en","type":"article","venue":"Medical Scientific Bulletin of Central Chernozemye (Naučno-medicinskij vestnik Centralʹnogo Černozemʹâ)","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anxiety; Depression (economics); Stroke (engine); Hospital Anxiety and Depression Scale; Disease; Medicine; Psychiatry; Psychology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001906908,0.0001648875,0.0002195105,0.0005095925,0.0003029067,0.0004699147,0.0001206097,0.0002555882,0.001471692],"category_scores_gemma":[0.001573156,0.0001134896,0.0002881195,0.0004509711,0.0001318374,0.0001731889,0.0001845982,0.0004111142,0.0001777402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001469557,"about_ca_system_score_gemma":0.0002047885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002326126,"about_ca_topic_score_gemma":0.003398725,"domain_scores_codex":[0.9998511,0.00003664311,0.00001688469,0.00002287923,0.00003356099,0.00003885646],"domain_scores_gemma":[0.9994754,0.0001188005,0.0001774027,0.00002679512,0.00005573745,0.0001458691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001552816,0.00006354102,0.9966793,0.000009965132,0.00004596516,0.0002239822,0.00006640036,0.00002464454,0.00009977957,0.00001449539,0.00005298206,0.00256359],"study_design_scores_gemma":[0.000001899082,0.00007606385,0.9994364,0.000003632019,0.00001470226,0.0002392571,0.00008659982,0.00003535196,0.00001089615,0.00001693045,0.00007663624,0.000001569624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997829,0.0008366363,0.00003813062,0.00007566363,0.00001333291,0.000005312613,0.0001082169,0.000001959515,0.001091708],"genre_scores_gemma":[0.999546,0.0001999979,0.00001938767,0.00001039416,0.00001208532,0.000002265128,0.00006699072,4.897086e-7,0.0001424429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002326126,"threshold_uncertainty_score":0.004923344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008636419687348523,"score_gpt":0.2178078403015101,"score_spread":0.2091714206141616,"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."}}