{"id":"W2070684046","doi":"10.1118/1.3611720","title":"SU‐E‐I‐146: An X‐Ray Scatter Technique for Extracting Differential Linear Scattering Coefficients","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Optics; Physics; Scattering; Photon; Degree (music)","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":[0.001056998,0.0008004862,0.0004454769,0.001563505,0.0003032306,0.0006034117,0.0006214858,0.0006561868,0.00196008],"category_scores_gemma":[0.00106485,0.0005782193,0.0003848563,0.001181801,0.0004340275,0.0005779747,0.0003213805,0.0007883441,0.001186456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000373758,"about_ca_system_score_gemma":0.0004781751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006554517,"about_ca_topic_score_gemma":0.001828951,"domain_scores_codex":[0.9993363,0.00009640815,0.00004830465,0.0001602254,0.0003173619,0.00004138909],"domain_scores_gemma":[0.9993361,0.0001653471,0.000132594,0.0001115268,0.0002109091,0.00004354772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008323638,0.00002228682,0.001224268,0.0001286784,0.00001464137,0.00004394732,0.00003452308,0.0002730158,0.9797594,0.0004127329,0.0001902728,0.01781293],"study_design_scores_gemma":[0.000009919137,0.0001567458,0.008975734,0.000019628,0.00003139505,0.0006227195,0.00002310156,0.006025451,0.9773803,0.0001508409,0.006578371,0.00002585725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2472286,0.004021011,0.739676,0.0001347189,0.000107585,0.0001582086,0.000858289,0.002662897,0.005152711],"genre_scores_gemma":[0.288791,0.002451434,0.695138,0.0001104133,0.00004635632,0.0003018804,0.002183114,0.0004539578,0.01052394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00196008,"threshold_uncertainty_score":0.006557107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03516534006585829,"score_gpt":0.2966826301794671,"score_spread":0.2615172901136088,"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."}}