{"id":"W4386188516","doi":"10.31117/neuroscirn.v6i3.251","title":"Malaysian Stroke Conference (MSC) Report 2022","year":2023,"lang":"en","type":"article","venue":"Neuroscience Research Notes","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Acute stroke; Medicine; Medical emergency; Theme (computing); Service (business); Family medicine; Nursing; Business; Emergency department; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.002293047,0.000146033,0.000223782,0.0006645736,0.0003403702,0.0001307456,0.0005419162,0.00006235563,0.0002502682],"category_scores_gemma":[0.006505851,0.0001265148,0.00007869988,0.002428333,0.0007201249,0.0001762969,0.000791061,0.0006726925,0.000580704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009346892,"about_ca_system_score_gemma":0.0003046965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006720042,"about_ca_topic_score_gemma":0.000003401855,"domain_scores_codex":[0.9953791,0.0001123928,0.0002817693,0.0008143071,0.002365373,0.001047015],"domain_scores_gemma":[0.9979917,0.0003692069,0.00005955442,0.0009164562,0.0002962806,0.000366734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004315129,0.00008753534,0.04252804,0.00006835158,0.000007163972,0.006045679,0.0001021902,0.00001957593,0.8759738,0.0005435474,0.06793776,0.006643166],"study_design_scores_gemma":[0.001301939,0.001285562,0.3517339,0.0001885681,0.00003729766,0.001223733,0.001026586,0.02519029,0.2265861,0.0002992133,0.3906292,0.000497644],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210727,0.00002846771,0.0006297221,0.02007524,0.000485599,0.0008253548,0.00002187839,0.0003848722,0.05647613],"genre_scores_gemma":[0.9541038,0.000194522,0.0002088451,0.0004188307,0.0001494853,0.0000832721,0.00001563225,0.00002381324,0.04480182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6493877,"threshold_uncertainty_score":0.7788581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2331374975260422,"score_gpt":0.4495088991025848,"score_spread":0.2163714015765427,"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."}}