{"id":"W4389790133","doi":"10.54832/judimas.v1i2.163","title":"Peningkatan Edukasi Stroke Masyarakat dengan Video Edukasi Stroke – “CHERIE” (Cerebral Hemorrhage and Ischemic Educational Video)","year":2023,"lang":"id","type":"article","venue":"Jurnal Pengabdian Masyarakat (JUDIMAS)","topic":"Public Health and Nutrition","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Stroke (engine); Medicine; Physics","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":[0.002143906,0.0005305351,0.000713575,0.001903191,0.0007440116,0.001962711,0.0005949819,0.0006534496,0.0532193],"category_scores_gemma":[0.007782922,0.0002382367,0.0007967178,0.002496477,0.0004129829,0.001645333,0.001059437,0.001039514,0.0129032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086859,"about_ca_system_score_gemma":0.002888327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00852286,"about_ca_topic_score_gemma":0.0124669,"domain_scores_codex":[0.9983292,0.0003767845,0.0003693788,0.0001996773,0.0005445053,0.0001803841],"domain_scores_gemma":[0.9943137,0.001931105,0.0005906535,0.0004408988,0.002163144,0.0005605223],"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":[0.00408347,0.001058518,0.08376117,0.006537274,0.000360596,0.0008636211,0.002431603,0.0004913519,0.007070787,0.003597979,0.149049,0.7406946],"study_design_scores_gemma":[0.0005398979,0.001758919,0.4274074,0.002912241,0.0007513707,0.002840834,0.005541904,0.000887686,0.0126529,0.002953344,0.541536,0.0002174451],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4417608,0.02599241,0.01948864,0.01486717,0.00354524,0.005285812,0.1288216,0.003962744,0.3562756],"genre_scores_gemma":[0.6378868,0.03625697,0.03277016,0.005012711,0.001759122,0.005107843,0.1015256,0.0007956174,0.1788851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0532193,"threshold_uncertainty_score":0.1780363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937234515096067,"score_gpt":0.285245377868812,"score_spread":0.2658730327178513,"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."}}