{"id":"W4394062659","doi":"10.1556/650.2024.33003","title":"Lehetne-e csökkenteni az enyhe koponyasérültek sürgősségi koponya-CT-vizsgálatainak számát?","year":2024,"lang":"hu","type":"article","venue":"Orvosi Hetilap","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Medicine; Gynecology; Nuclear medicine","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00103336,0.001205238,0.001279203,0.000801825,0.0003801334,0.001012621,0.0009937434,0.0003594281,0.006823249],"category_scores_gemma":[0.0003406261,0.001154645,0.001114054,0.001896901,0.0004452333,0.0006258764,0.0003468798,0.002120784,0.01154551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005103615,"about_ca_system_score_gemma":0.0002839603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005030168,"about_ca_topic_score_gemma":0.00003500951,"domain_scores_codex":[0.9935242,0.0002470179,0.001316298,0.001588397,0.001356785,0.001967331],"domain_scores_gemma":[0.9966721,0.0004835516,0.0001187307,0.001440547,0.0001565323,0.001128561],"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":[0.00005669229,0.0006942226,0.001839099,0.006651404,0.004510548,0.01048138,0.004973248,0.007688918,0.0125169,0.01275395,0.727824,0.2100096],"study_design_scores_gemma":[0.0007028941,0.0001016163,0.0002273761,0.002051033,0.001324914,0.0003195285,0.0005830993,0.1982234,0.004653611,0.001449632,0.7887822,0.001580634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2689165,0.2473286,0.04053994,0.04346769,0.04075848,0.00271424,0.001401944,0.0129768,0.3418958],"genre_scores_gemma":[0.9208631,0.004243861,0.0009116926,0.0006944294,0.002574653,0.00008425404,0.000220116,0.0004135163,0.0699944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6519465,"threshold_uncertainty_score":0.9990904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007439500494812947,"score_gpt":0.2396310181993563,"score_spread":0.2321915177045434,"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."}}