{"id":"W2031753446","doi":"10.1016/j.ijrobp.2009.07.1652","title":"Evaluation of Dynamic Volume Scanning on a 320-slice CT for Routine Assessment of Respiratory-induced Lung Tumor Motion","year":2009,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Isocenter; Scanner; Imaging phantom; Nuclear medicine; Medicine; Rotation (mathematics); Lung volumes; Volume (thermodynamics); Breathing; Voxel; Biomedical engineering; Computer vision; Artificial intelligence; Physics; Computer science; Lung; Radiology; Anatomy","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":[0.001865682,0.0007643998,0.0004297413,0.001959966,0.0002741696,0.0004835835,0.0006127864,0.001237225,0.00231272],"category_scores_gemma":[0.005129714,0.0005077483,0.0003146704,0.0005329565,0.0003519435,0.0007522781,0.0003419205,0.0005058115,0.000377165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002620614,"about_ca_system_score_gemma":0.0005586232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001584967,"about_ca_topic_score_gemma":0.001867638,"domain_scores_codex":[0.999744,0.000094785,0.00004040332,0.00003476692,0.00004779809,0.00003827521],"domain_scores_gemma":[0.9985612,0.000866297,0.00007065155,0.00008212231,0.0002414006,0.0001783218],"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":[0.01117435,0.0003477382,0.05438186,0.000587997,0.0001734857,0.01224545,0.0003386835,0.003125917,0.8172852,0.0004837739,0.0007845708,0.09907102],"study_design_scores_gemma":[0.000879281,0.01382871,0.4659322,0.0003897201,0.001531761,0.07767648,0.0004939908,0.07113452,0.3586956,0.0005997797,0.008649367,0.0001885544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9591497,0.00454463,0.02884284,0.0004234305,0.00005335621,0.0003435579,0.0003419643,0.0002508971,0.006049647],"genre_scores_gemma":[0.9792429,0.001597871,0.01813597,0.000118056,0.00004618563,0.00005870804,0.0002005003,0.0001121816,0.0004876053],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00231272,"threshold_uncertainty_score":0.009866774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02686968999193496,"score_gpt":0.4019128101562164,"score_spread":0.3750431201642815,"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."}}