{"id":"W7017404680","doi":"","title":"Automatische versus manuelle Bewertung von Infarktfrühzeichen in der Bildgebung bei Patienten mit akutem Schlaganfall","year":2023,"lang":"en","type":"other","venue":"MACAU (Kiel University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Software tool; Cohort; Ischemic stroke; Computer software","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":[0.004046453,0.0004496914,0.0005263765,0.002192208,0.0002051097,0.001093494,0.0004938022,0.0005298005,0.001746202],"category_scores_gemma":[0.01661714,0.0002096847,0.0003355977,0.0009579993,0.0003513825,0.0005195787,0.0005994456,0.0002454266,0.0008571481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001807651,"about_ca_system_score_gemma":0.0002845027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135361,"about_ca_topic_score_gemma":0.002356146,"domain_scores_codex":[0.9971153,0.001395329,0.000304722,0.0005207524,0.0005220948,0.0001418823],"domain_scores_gemma":[0.9932237,0.003381338,0.001166713,0.0005853152,0.001475837,0.0001670729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005002981,0.0002438926,0.7371823,0.0003490206,0.0005333411,0.0004155894,0.0008143847,0.0028228,0.006810146,0.000233649,0.002735278,0.2428566],"study_design_scores_gemma":[0.0003963304,0.001399958,0.933428,0.0001795311,0.000716469,0.003243688,0.00100622,0.03264881,0.02105631,0.001646945,0.004156068,0.0001215865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797817,0.001403435,0.01356837,0.0001547339,0.00007377069,0.0001145366,0.0005819658,0.0002927381,0.004028665],"genre_scores_gemma":[0.9859949,0.0003944263,0.01211375,0.00005655421,0.00005399642,0.00006445464,0.0005856521,0.00005683959,0.000679551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004046453,"threshold_uncertainty_score":0.02139997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02026188892934081,"score_gpt":0.2241348298261051,"score_spread":0.2038729408967643,"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."}}