{"id":"W2053268778","doi":"10.1118/1.4740184","title":"Poster — Thur Eve — 75: Towards MR only simulation: MR based digitally reconstructed radiograph of head and neck","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Head and neck; Voxel; Radiography; Nuclear medicine; Magnetic resonance imaging; Radiosurgery; Image quality; Computer science; Artificial intelligence; Medicine; Radiology; Radiation therapy; Image (mathematics)","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":[0.001004392,0.0004238191,0.0001518923,0.0004192005,0.0001374479,0.0008020683,0.0006410629,0.0005861606,0.009176998],"category_scores_gemma":[0.001781175,0.0003022173,0.0004519972,0.0001672357,0.0003855395,0.0004257167,0.000704836,0.0004236864,0.003963335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002490593,"about_ca_system_score_gemma":0.0003872773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006813919,"about_ca_topic_score_gemma":0.0009006754,"domain_scores_codex":[0.9996699,0.0001065161,0.00002403692,0.00004349767,0.0001437401,0.00001227529],"domain_scores_gemma":[0.9995233,0.0001286056,0.00003733164,0.000161944,0.0001158233,0.00003309063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009160363,0.0003118892,0.01008802,0.001254005,0.0001577826,0.001336264,0.0004607381,0.1528832,0.4260288,0.008769015,0.02105348,0.3767408],"study_design_scores_gemma":[0.0002591283,0.001357778,0.01904906,0.0002166163,0.0001936764,0.00790587,0.0002304296,0.5048421,0.3546425,0.005449167,0.1056659,0.0001876826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.151379,0.001090221,0.816801,0.001232657,0.0006046419,0.0004661878,0.0008917911,0.004513337,0.02302121],"genre_scores_gemma":[0.4069491,0.0009891008,0.5737346,0.0002695436,0.0001828908,0.0001712187,0.0009216809,0.0009070737,0.01587475],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009176998,"threshold_uncertainty_score":0.03070015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323350533122217,"score_gpt":0.2882352607408877,"score_spread":0.2750017554096655,"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."}}