{"id":"W2097711148","doi":"10.1139/jpn.0642","title":"Depression in acute stroke","year":2006,"lang":"en","type":"article","venue":"Journal of Psychiatry and Neuroscience","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Depression (economics); Stroke (engine); Medicine; Acute stroke; Psychiatry; Economics; Engineering; Keynesian economics; Emergency department","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":[0.0003837067,0.0002044112,0.0003602681,0.0004121265,0.0002333024,0.0003193305,0.0001867161,0.0003630181,0.002154807],"category_scores_gemma":[0.001831831,0.00007700542,0.000174205,0.0005228905,0.0001355575,0.0001950853,0.0002176733,0.0003094997,0.0004504347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001867347,"about_ca_system_score_gemma":0.0002754952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009959632,"about_ca_topic_score_gemma":0.00125336,"domain_scores_codex":[0.9996843,0.0001140668,0.00005704095,0.00002353527,0.00007762816,0.00004337333],"domain_scores_gemma":[0.9995137,0.0001135621,0.000184384,0.00001326339,0.00009391012,0.00008126011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003090846,0.0002189705,0.8396407,0.0006541319,0.0001499736,0.001802071,0.0002182586,0.0001064031,0.0004929284,0.0002508277,0.0084333,0.1477234],"study_design_scores_gemma":[0.00003949409,0.0002338351,0.9870903,0.0002035045,0.00006718132,0.0061645,0.0001641706,0.0001628063,0.0000730608,0.0003596827,0.005437102,0.000004515546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8659704,0.1038045,0.00106043,0.008407214,0.0008233616,0.000337804,0.001558462,0.00006558366,0.01797237],"genre_scores_gemma":[0.9738073,0.02166746,0.0005416638,0.0009265829,0.0005460477,0.00008372116,0.001047808,0.000002163192,0.00137728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002154807,"threshold_uncertainty_score":0.007208526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009287090515940658,"score_gpt":0.2842374278958132,"score_spread":0.2749503373798725,"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."}}