{"id":"W4302942102","doi":"10.53347/rid-40017","title":"Alberta Stroke Program Early CT Score (ASPECTS) in middle cerebral artery territory infarct","year":2005,"lang":"en","type":"reference-entry","venue":"Radiopaedia.org","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Middle cerebral artery; Stroke (engine); Medicine; Cardiology; Internal medicine; Ischemia; 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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0003309114,0.001287876,0.002028211,0.00121515,0.00009907049,0.0001030973,0.0008983768,0.0007472153,0.001072865],"category_scores_gemma":[0.0002015872,0.001225759,0.0007379007,0.0005312503,0.0003243739,0.0003006763,0.0004778981,0.00294426,0.0008471603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613041,"about_ca_system_score_gemma":0.0008486225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001973325,"about_ca_topic_score_gemma":0.0008820556,"domain_scores_codex":[0.9937084,0.0001403458,0.001379392,0.001619954,0.001463273,0.001688676],"domain_scores_gemma":[0.9967501,0.0001901298,0.0005488029,0.001746087,0.000105001,0.0006598342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003100699,0.001349642,0.2809635,0.00204349,0.001239401,0.00239279,0.0006939987,0.00000203532,0.00003089838,0.00004924543,0.5814899,0.129435],"study_design_scores_gemma":[0.004037595,0.0007353032,0.07255545,0.00339881,0.0007181378,0.0003998045,0.0001685036,0.00004580548,0.0001491624,0.000005661687,0.9167725,0.001013297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3115636,0.009492238,0.000005671923,0.001501759,0.00319467,0.003698984,0.0002151145,0.0004273971,0.6699006],"genre_scores_gemma":[0.2113461,0.0134261,0.001737332,0.001666515,0.02113052,0.001444064,0.003283749,0.00065456,0.745311],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3352826,"threshold_uncertainty_score":0.9999873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815718024190571,"score_gpt":0.2650232809813698,"score_spread":0.2368661007394641,"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."}}