{"id":"W4250381459","doi":"10.1055/a-0751-1698","title":"Klinischer Nutzen des e-ASPECTS-Score","year":2019,"lang":"de","type":"article","venue":"Neuroradiologie Scan","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Gynecology; Thrombolysis; Stroke (engine); Internal medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0200912,0.001081606,0.002261537,0.002252079,0.0004286522,0.003224176,0.000760999,0.001033684,0.003020632],"category_scores_gemma":[0.0789196,0.0004294076,0.002094406,0.003069808,0.0006481085,0.001926771,0.001261908,0.001840519,0.001072553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007486548,"about_ca_system_score_gemma":0.0008218157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008896815,"about_ca_topic_score_gemma":0.00105099,"domain_scores_codex":[0.9762117,0.01001408,0.004495705,0.002262176,0.006577757,0.000438515],"domain_scores_gemma":[0.9303009,0.04838051,0.009194979,0.003723761,0.007619932,0.0007798663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007053178,0.0002299653,0.757101,0.001655588,0.006946359,0.0002243083,0.0002783082,0.003487468,0.0008777202,0.001462961,0.009504586,0.2111784],"study_design_scores_gemma":[0.00233288,0.005265756,0.8704647,0.002347209,0.01523142,0.004756912,0.0005604093,0.01520385,0.008470745,0.01776524,0.05723226,0.0003686083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7670805,0.09540804,0.04320504,0.01181964,0.001357292,0.001446208,0.03271446,0.001088878,0.04588005],"genre_scores_gemma":[0.9698622,0.00589865,0.01063928,0.001866016,0.0004855822,0.0007794175,0.008414776,0.000214835,0.001839237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0200912,"threshold_uncertainty_score":0.1062536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03880895330414365,"score_gpt":0.3313926354217141,"score_spread":0.2925836821175705,"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."}}