{"id":"W3147553300","doi":"","title":"KORELASI KADAR FIBRINOGEN DENGAN NILAI ALBERTA STROKE PROGRAM EARLY CT SCORE (ASPECTS) PADA STROKE ISKEMIK","year":2015,"lang":"id","type":"article","venue":"Neurona (Majalah Kedokteran Neuro Sains Perhimpunan Dokter Spesialis Saraf Indonesia)","topic":"Public Health and Nutrition","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cardiology; Stroke (engine); Internal medicine; Ischemic stroke; Fibrinogen; Middle cerebral artery; Ischemia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001752502,0.003712465,0.004136537,0.00187562,0.001219016,0.00191362,0.002889362,0.001343684,0.0003378338],"category_scores_gemma":[0.001635762,0.003824646,0.001953786,0.002036525,0.001235632,0.00243283,0.001021823,0.005210518,0.001277876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576803,"about_ca_system_score_gemma":0.003503589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005990481,"about_ca_topic_score_gemma":0.001310009,"domain_scores_codex":[0.9765114,0.002903719,0.004434414,0.005082528,0.004919086,0.006148918],"domain_scores_gemma":[0.9835392,0.00135037,0.001820505,0.004632934,0.001334277,0.007322682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01312275,0.01458952,0.7061179,0.005580346,0.002168234,0.03048073,0.009369578,0.00006780063,0.03044964,0.001951993,0.105424,0.08067752],"study_design_scores_gemma":[0.03695264,0.02155081,0.3469162,0.001812515,0.002364035,0.007984549,0.000492262,0.001541725,0.01584364,0.00009873622,0.5590189,0.005424001],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528652,0.00260485,0.0000541382,0.01274421,0.007713867,0.008908098,0.0010567,0.001358304,0.0126946],"genre_scores_gemma":[0.9640886,0.00147659,0.0004843035,0.01006446,0.008110413,0.0007466183,0.001150897,0.001122084,0.012756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4535949,"threshold_uncertainty_score":0.9999528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03476959803991725,"score_gpt":0.2833253191480621,"score_spread":0.2485557211081449,"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."}}