{"id":"W2079593733","doi":"10.1161/01.str.0000083175.01126.62","title":"Advertising Strategies to Increase Public Knowledge of the Warning Signs of Stroke","year":2003,"lang":"en","type":"article","venue":"Stroke","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering; Ontario Stroke Network; Heart and Stroke Foundation","funders":"Health Canada; Heart and Stroke Foundation of Canada","keywords":"Medicine; Newspaper; Mass media; Advertising; Stroke (engine); Polling; Health education; Warning signs; Public health; Control (management); Telephone survey; Nursing; Business","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":[0.001067688,0.0003306211,0.0001876884,0.001053229,0.0003933652,0.0007402693,0.0004319141,0.000530723,0.003720956],"category_scores_gemma":[0.005342957,0.0001213991,0.0001555699,0.0004726005,0.0003283137,0.0005189481,0.0004426517,0.0003721173,0.0003980125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004719093,"about_ca_system_score_gemma":0.0005556329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00393093,"about_ca_topic_score_gemma":0.00463945,"domain_scores_codex":[0.9994702,0.00026421,0.00003786848,0.00003339157,0.0001140614,0.00008029864],"domain_scores_gemma":[0.9973884,0.001507406,0.0004991386,0.00007470334,0.0002374181,0.0002928905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001314713,0.01491734,0.1585747,0.002284009,0.0001557105,0.0006285927,0.00714593,0.0009568683,0.0122184,0.00205607,0.0118369,0.7879108],"study_design_scores_gemma":[0.002472922,0.01538931,0.872124,0.002339427,0.001496086,0.001488025,0.008637308,0.008062931,0.01869664,0.004108679,0.06510703,0.00007761121],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739821,0.002320844,0.000724929,0.002511895,0.00008180369,0.0002554242,0.00006612666,0.0001171226,0.01993967],"genre_scores_gemma":[0.9937397,0.001438729,0.002746336,0.0004631278,0.0001419405,0.0001269584,0.00007397999,0.000005729335,0.001263397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00393093,"threshold_uncertainty_score":0.01244789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05589831177548534,"score_gpt":0.4189501316626575,"score_spread":0.3630518198871722,"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."}}