{"id":"W2035924669","doi":"10.1088/0031-9155/55/21/010","title":"Biomechanical-based image registration for head and neck radiation treatment","year":2010,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Institutes of Health; National Cancer Institute; Cancer Care Ontario","keywords":"Image registration; Vertebra; Mandible (arthropod mouthpart); Cone beam computed tomography; Medicine; Parotid gland; Nuclear medicine; Radiation treatment planning; Head and neck cancer; Anatomy; Computer science; Orthodontics; Radiation therapy; Artificial intelligence; Radiology; Computed tomography; Image (mathematics); Biology; Dentistry","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":[0.0005403491,0.0003488455,0.0004565933,0.0005847338,0.0002380932,0.0005061422,0.000737727,0.000779778,0.002116136],"category_scores_gemma":[0.001494558,0.0003693021,0.0008654761,0.0005031818,0.0003164282,0.0002762633,0.00039019,0.0003732421,0.0006291404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009656271,"about_ca_system_score_gemma":0.0009417363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005082098,"about_ca_topic_score_gemma":0.005428039,"domain_scores_codex":[0.9996256,0.0001144155,0.00002089251,0.00005762948,0.0001660251,0.0000155004],"domain_scores_gemma":[0.9997141,0.0001198095,0.00004788845,0.00005903737,0.00004734891,0.00001185408],"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":[0.0002527655,0.0001951529,0.004003608,0.0001149454,0.00007528215,0.000141555,0.0001807362,0.8626041,0.05437382,0.001222825,0.0005222135,0.07631294],"study_design_scores_gemma":[0.00001954568,0.0002354851,0.008214484,0.00001069988,0.00002754416,0.0002228155,0.00004033707,0.9776979,0.01080415,0.000631284,0.002045212,0.00005047253],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.379496,0.0005910355,0.6114308,0.0004122922,0.00009703737,0.0005491641,0.0007401328,0.001846335,0.004837292],"genre_scores_gemma":[0.8732615,0.0002799285,0.1226533,0.00007103803,0.00001449053,0.0003162385,0.0006630431,0.0001477932,0.002592727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005082098,"threshold_uncertainty_score":0.01010501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0798926821968956,"score_gpt":0.4104421926716044,"score_spread":0.3305495104747088,"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."}}