{"id":"W6885391933","doi":"10.13437/j.cnki.jcr.2021.04.044","title":"影像机器学习方法在急性缺血性脑卒中的研究进展","year":2021,"lang":"zh","type":"other","venue":"Lanzhou University Institutional Repository","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Context (archaeology); Product (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002456997,0.0004065965,0.0003541195,0.005650641,0.002155491,0.006900639,0.0009686914,0.0008210356,0.07377798],"category_scores_gemma":[0.009097279,0.0002161231,0.0003440714,0.00947208,0.002119326,0.003679157,0.001744779,0.0008754414,0.01361699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003884288,"about_ca_system_score_gemma":0.007684872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02032739,"about_ca_topic_score_gemma":0.02390155,"domain_scores_codex":[0.9986495,0.0003956264,0.0001854211,0.0002036537,0.0004040586,0.0001616952],"domain_scores_gemma":[0.9960665,0.001007874,0.0008544645,0.0002625126,0.001053119,0.0007555992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002225089,0.000237233,0.1505963,0.001275901,0.00005286639,0.0004955931,0.003693281,0.0003769652,0.0002568206,0.09566448,0.33639,0.410738],"study_design_scores_gemma":[0.0001218045,0.0001057437,0.1852745,0.001345636,0.0001465409,0.001730544,0.008020303,0.001067383,0.001067563,0.04249687,0.7585438,0.00007931318],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.09742318,0.01893673,0.006098799,0.04107307,0.00146298,0.0007485757,0.02938619,0.001407756,0.8034628],"genre_scores_gemma":[0.642588,0.03731837,0.01610259,0.006048414,0.003385469,0.001383813,0.02397184,0.0005819685,0.2686195],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.07377798,"threshold_uncertainty_score":0.2468119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048999003277603,"score_gpt":0.2068642841936831,"score_spread":0.1963742941609071,"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."}}