{"id":"W4232720748","doi":"10.1055/s-0043-121639","title":"Schlagfall: Ein Algorithmus zur Prädiktion der finalen Läsionsausdehnung","year":2018,"lang":"de","type":"article","venue":"Neuroradiologie Scan","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Humanities; Art","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":[0.003048945,0.001861399,0.001180324,0.003133607,0.0008142766,0.00281328,0.001274782,0.001337976,0.01179526],"category_scores_gemma":[0.0080185,0.0007127404,0.001272837,0.001439476,0.0005498658,0.00157377,0.00165327,0.001784401,0.00495558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009296263,"about_ca_system_score_gemma":0.002799709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003256057,"about_ca_topic_score_gemma":0.003482101,"domain_scores_codex":[0.9983661,0.0004349962,0.0003477863,0.000352289,0.0003654009,0.000133483],"domain_scores_gemma":[0.9981153,0.0007457084,0.0002146244,0.000118858,0.0006755959,0.000129868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001819013,0.0003298513,0.02288017,0.0006837809,0.0005100033,0.0002064297,0.0002517102,0.01011614,0.003078184,0.002692833,0.027264,0.930168],"study_design_scores_gemma":[0.005239676,0.00406365,0.06431863,0.001761598,0.002218787,0.005227388,0.001010384,0.5865804,0.06098183,0.05141279,0.2163913,0.0007937131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06608654,0.004937782,0.8838018,0.003377797,0.001010314,0.004870276,0.003702203,0.02039011,0.01182335],"genre_scores_gemma":[0.1110766,0.001033636,0.8736043,0.0005733748,0.0001960611,0.003979814,0.002732141,0.00116327,0.005640818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01179526,"threshold_uncertainty_score":0.03945905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03289174640847535,"score_gpt":0.2949656563697524,"score_spread":0.2620739099612771,"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."}}