{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003982652,0.001025534,0.001066437,0.003460744,0.001581333,0.0060262,0.001575905,0.004036699,0.01112072],"category_scores_gemma":[0.007158191,0.0004148188,0.0007969646,0.005177327,0.008520394,0.005928989,0.003466621,0.00499626,0.006958084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002808367,"about_ca_system_score_gemma":0.002934652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00302995,"about_ca_topic_score_gemma":0.001445568,"domain_scores_codex":[0.9940335,0.002219939,0.0007173056,0.0009906939,0.001735306,0.0003033402],"domain_scores_gemma":[0.9953315,0.001982786,0.0003781634,0.0005340747,0.001504132,0.0002693077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001256193,0.0000765912,0.00138173,0.001777886,0.00004526554,0.0007154979,0.001268765,0.001187724,0.00181184,0.6270131,0.03609607,0.3284998],"study_design_scores_gemma":[0.0000150126,0.0001250942,0.001516445,0.001029547,0.0000386726,0.002121844,0.0005078983,0.0009208141,0.0007612716,0.1452218,0.84767,0.00007170545],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004763285,0.5942127,0.136016,0.0232075,0.01679183,0.0003190088,0.0004423773,0.0007296977,0.2235177],"genre_scores_gemma":[0.1798887,0.4136401,0.2039216,0.0231568,0.02829452,0.0009169665,0.0008588174,0.0004024332,0.1489202],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01112072,"threshold_uncertainty_score":0.03720248,"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."}}