{"id":"W26509113","doi":"10.1161/str.44.suppl_1.atp322","title":"Abstract TP322: Towards better screening for Post Stroke Depression","year":2013,"lang":"en","type":"article","venue":"Stroke","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Medicine; Stroke (engine); Depression (economics); Rehabilitation; Mood; Physical therapy; Logistic regression; Post-stroke depression; Quality of life (healthcare); Gold standard (test); Physical medicine and rehabilitation; Clinical psychology; 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":[0.004489422,0.0004873958,0.0005719136,0.00163928,0.0002621926,0.0008678483,0.0006848697,0.00080064,0.005019492],"category_scores_gemma":[0.007769427,0.00021989,0.000415898,0.0008649366,0.000209063,0.0008581635,0.0008474967,0.0009627187,0.001668925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000374007,"about_ca_system_score_gemma":0.0007973429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002059381,"about_ca_topic_score_gemma":0.002742452,"domain_scores_codex":[0.998077,0.001218106,0.0002093922,0.0001251141,0.000270713,0.00009961559],"domain_scores_gemma":[0.9969747,0.001187758,0.000532632,0.0001485581,0.0008422444,0.0003140144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00130171,0.001289072,0.7248477,0.0006499766,0.00007976061,0.000656646,0.0006148898,0.0003590411,0.007843685,0.0004154357,0.01844827,0.2434938],"study_design_scores_gemma":[0.0001654673,0.002559428,0.9890388,0.0001498773,0.00003694809,0.0007295044,0.0003803682,0.001451202,0.001272651,0.0004718972,0.003717713,0.00002616656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471121,0.001917397,0.01966418,0.006371627,0.000321328,0.003358346,0.008052805,0.0005260017,0.0126763],"genre_scores_gemma":[0.9407197,0.001573635,0.04098502,0.002032296,0.0002780333,0.003081344,0.005977832,0.00005591264,0.005296212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005019492,"threshold_uncertainty_score":0.02374262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010821094091758,"score_gpt":0.2923688100270527,"score_spread":0.2722605990861351,"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."}}