{"id":"W3020062582","doi":"10.1002/mp.14204","title":"Quantitative imaging performance of MARS spectral photon‐counting CT for radiotherapy","year":2020,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mars Exploration Program; Scanner; Materials science; Nuclear medicine; Medical imaging; Physics; Optics; Medicine; Radiology","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":[0.002133268,0.000647705,0.0002960954,0.001026388,0.0001676115,0.001068224,0.0005133582,0.0008944793,0.001866876],"category_scores_gemma":[0.005682101,0.0003622314,0.0003028611,0.0004867124,0.0003437461,0.0004379727,0.0006146943,0.0003096389,0.0003902747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004358308,"about_ca_system_score_gemma":0.0003926752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042186,"about_ca_topic_score_gemma":0.001019493,"domain_scores_codex":[0.999114,0.0003409578,0.00004420621,0.0001365912,0.0003404298,0.00002389017],"domain_scores_gemma":[0.9980026,0.001012147,0.0002947172,0.000262411,0.000375085,0.00005308733],"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":[0.003845681,0.0001135813,0.02280816,0.0006517508,0.0002311024,0.000330462,0.0002250911,0.1191835,0.7173751,0.000893581,0.001158598,0.1331834],"study_design_scores_gemma":[0.00007457894,0.001288518,0.07204249,0.0001585011,0.0003957133,0.00390345,0.0001636649,0.4367397,0.4789162,0.0004696537,0.005687316,0.0001602187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7920334,0.002908839,0.1976286,0.000352065,0.00003050364,0.0001186857,0.000679023,0.001927985,0.004320919],"genre_scores_gemma":[0.9109882,0.0004211934,0.08702866,0.00008780115,0.0000111637,0.00004575636,0.0005431645,0.00020542,0.0006686465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002133268,"threshold_uncertainty_score":0.01128191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232002568670883,"score_gpt":0.257092605685734,"score_spread":0.2447725799990252,"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."}}