{"id":"W127498844","doi":"10.1055/s-2008-1027847","title":"Kompression digitaler Bilddaten in der Radiologie – Ergebnisse einer Konsensuskonferenz","year":2008,"lang":"de","type":"article","venue":"RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gynecology; Medicine; Physics","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":[0.05174086,0.001668484,0.00108058,0.002358763,0.0007086945,0.002404751,0.001505777,0.001371626,0.00581049],"category_scores_gemma":[0.04883414,0.0004539932,0.002598264,0.002141254,0.001205017,0.001671851,0.002719676,0.002171322,0.003208143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002831005,"about_ca_system_score_gemma":0.00492308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003736416,"about_ca_topic_score_gemma":0.002866155,"domain_scores_codex":[0.9726623,0.01646566,0.003692396,0.0007154844,0.005716363,0.0007478388],"domain_scores_gemma":[0.9641109,0.01631413,0.003376545,0.002424871,0.01297702,0.0007966424],"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":[0.001958754,0.0007323988,0.003410222,0.006480574,0.0008279794,0.000216242,0.001655099,0.002539937,0.002614559,0.002691399,0.01541596,0.9614568],"study_design_scores_gemma":[0.002498786,0.009015515,0.09941444,0.09851836,0.008230528,0.003498345,0.005109601,0.006816278,0.05214472,0.01189151,0.7024071,0.0004548282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1507054,0.7325083,0.02751715,0.0262105,0.005739573,0.007459082,0.001881296,0.0005489598,0.04742973],"genre_scores_gemma":[0.3475555,0.4958245,0.1126941,0.007595499,0.001814862,0.006364909,0.006739955,0.0005823924,0.0208283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05174086,"threshold_uncertainty_score":0.2736351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04141842523908563,"score_gpt":0.2874456211529139,"score_spread":0.2460271959138283,"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."}}