{"id":"W2549413926","doi":"10.1017/cjn.2016.411","title":"Money is Brain: Financial Barriers and Consequences for Canadian Stroke Patients","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"Alberta Innovates; Alberta Innovates - Health Solutions; Health Research Board; University of Calgary","keywords":"Stroke (engine); Health care; Thematic analysis; Socioeconomic status; Finance; Medicine; Qualitative research; Coping (psychology); Family medicine; Business; Psychiatry; Environmental health; Population; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.00318651,0.0003742477,0.000531615,0.001379541,0.0202227,0.004232703,0.001456814,0.001241944,0.004004612],"category_scores_gemma":[0.01034794,0.0003290511,0.0005122176,0.004352462,0.00370283,0.001703782,0.004018837,0.002642495,0.0001320509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05993053,"about_ca_system_score_gemma":0.1028984,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9747835,"about_ca_topic_score_gemma":0.9855202,"domain_scores_codex":[0.9964805,0.0006824204,0.0001852228,0.0001960018,0.0008905085,0.001565342],"domain_scores_gemma":[0.9930499,0.001061001,0.001179783,0.000102229,0.001870311,0.002736869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002712503,0.0002419068,0.3383783,0.0008626807,0.00007619366,0.003118215,0.5628605,0.0001842541,0.0003155619,0.00417747,0.02996825,0.05954528],"study_design_scores_gemma":[0.00002301824,0.00008128146,0.1876208,0.0007930516,0.00004036866,0.000598705,0.7906567,0.0001747033,0.00007445325,0.0004803583,0.01935888,0.0000977262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631125,0.002812982,0.00008818004,0.02044233,0.0001266808,0.00009887956,0.0006866053,0.000007115405,0.01262468],"genre_scores_gemma":[0.9949589,0.00184556,0.0001190165,0.001915313,0.00002082828,0.00003358967,0.0001592052,0.000004753183,0.0009427252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05993053,"threshold_uncertainty_score":0.4348285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297279861873752,"score_gpt":0.264400343320016,"score_spread":0.2414275447012785,"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."}}