{"id":"W2304094172","doi":"10.1118/1.4870982","title":"WAXS fat subtraction model to estimate differential linear scattering coefficients of fatless breast tissue: Phantom materials evaluation","year":2014,"lang":"en","type":"article","venue":"Medical Physics","topic":"Radiation Shielding Materials Analysis","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"Canadian Institutes of Health Research","keywords":"Imaging phantom; Materials science; Scattering; Polystyrene; Subtraction; Biomedical engineering; Optics; Nuclear medicine; Physics; Mathematics; Composite material; Polymer; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001493793,0.001131002,0.0004277497,0.0006981512,0.0001873039,0.000514544,0.001084807,0.0007364103,0.001701434],"category_scores_gemma":[0.002337451,0.0004959846,0.0006064819,0.000428196,0.0003586951,0.0006326854,0.0006638615,0.0005774356,0.001390114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005738135,"about_ca_system_score_gemma":0.0007693893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001422814,"about_ca_topic_score_gemma":0.001518284,"domain_scores_codex":[0.9995822,0.00009242471,0.00001541598,0.00005852839,0.0002310745,0.00002036577],"domain_scores_gemma":[0.9994343,0.0002463399,0.00007592425,0.00007079443,0.0001514773,0.0000211786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006592618,0.0001877567,0.003141094,0.0006094553,0.0002202154,0.0002685057,0.0002168554,0.4101369,0.3666354,0.008949241,0.002300186,0.2066749],"study_design_scores_gemma":[0.00001607146,0.0001128688,0.0007956284,0.0000209875,0.00003428993,0.0001945735,0.00001723535,0.9103437,0.08403803,0.001055568,0.003345869,0.00002508739],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02446775,0.0003270219,0.9724857,0.0000933749,0.00002578145,0.00009849938,0.0001075144,0.001495807,0.0008986103],"genre_scores_gemma":[0.260802,0.001076458,0.727859,0.0002255194,0.00003232258,0.0006109129,0.00071049,0.0005640145,0.008119342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001701434,"threshold_uncertainty_score":0.007900059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888983293201947,"score_gpt":0.3437618025531914,"score_spread":0.3148719696211719,"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."}}