{"id":"W1535025660","doi":"10.5772/19847","title":"Analog and Digital Systems of Imaging in Roentgenodiagnostics","year":2011,"lang":"en","type":"article","venue":"InTech eBooks","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada)","funders":"","keywords":"Image quality; Scope (computer science); Detector; Quality (philosophy); Digital imaging; Computer science; Digital image; Enforcement; Data acquisition; Noise (video); Digital radiography; Medical physics; Computer vision; Artificial intelligence; Image processing; Data science; Medicine; Image (mathematics); Telecommunications; Political science; Physics; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006120773,0.00005304246,0.0001254445,0.0001422546,0.000008085084,0.0000127314,0.00003289906,0.00001727707,0.000007093985],"category_scores_gemma":[0.00009231291,0.00004756444,0.00001810796,0.00002943532,0.00005609888,0.00005391367,0.00002133569,0.00006657989,0.000004002645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001697063,"about_ca_system_score_gemma":0.00002197113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001355647,"about_ca_topic_score_gemma":0.000003128231,"domain_scores_codex":[0.9995638,0.000005895211,0.0001821802,0.00008585607,0.00006970815,0.00009261698],"domain_scores_gemma":[0.9997512,0.0000282008,0.00004531866,0.0001006512,0.00003303739,0.00004166845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003245047,0.00004652165,0.9347627,0.00007354624,0.00001947969,0.0001106001,0.001795902,2.246587e-7,0.01927579,0.0003264789,0.00007535803,0.04348094],"study_design_scores_gemma":[0.003399361,0.0003954659,0.4001894,0.00165381,0.0001183542,0.0006529889,0.004537279,0.002259436,0.5809296,0.001548775,0.003911328,0.0004042631],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9283649,0.0004276913,0.001348965,0.00002920241,0.00008121089,0.0001694216,0.000005244782,0.0000262781,0.06954706],"genre_scores_gemma":[0.9996159,0.000008446298,0.0000854915,0.00006290906,0.0000206619,0.000004446609,0.000001744923,0.000007584209,0.0001928007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5616538,"threshold_uncertainty_score":0.1939622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167883770203646,"score_gpt":0.2461461120932553,"score_spread":0.2244672743912188,"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."}}