{"id":"W2059473999","doi":"10.1118/1.3611877","title":"SU‐E‐J‐109: Evaluation of the Dosimetric Impact of Respiratory‐Induced Motion","year":2011,"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":"Centre hospitalier universitaire de Québec","funders":"","keywords":"Expiration; Plan (archaeology); Radiation treatment planning; Computer science; Breathing; Position (finance); Nuclear medicine; Medicine; Diaphragm (acoustics); Radiation therapy; Dosimetry; Medical physics; Radiology; Physics; Respiratory system; Acoustics","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":[0.001177156,0.0005603838,0.0004996712,0.0009266329,0.0001934183,0.0008600816,0.0005479606,0.0005785989,0.00179437],"category_scores_gemma":[0.00330518,0.000238627,0.0005835726,0.0007705094,0.0002845985,0.0003640663,0.0004752229,0.0003433998,0.0003555369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004849279,"about_ca_system_score_gemma":0.0002743372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001854074,"about_ca_topic_score_gemma":0.001873798,"domain_scores_codex":[0.999281,0.000151037,0.00006639134,0.0001251099,0.0003337089,0.00004282625],"domain_scores_gemma":[0.9988926,0.0005888763,0.0001610493,0.0001333647,0.0001608938,0.00006328599],"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":[0.005987529,0.0007357745,0.08467067,0.00204158,0.001349045,0.0006374615,0.0003271357,0.2651017,0.3471527,0.001627976,0.004264875,0.2861037],"study_design_scores_gemma":[0.0002028235,0.002696768,0.2367341,0.00008086694,0.0007403708,0.00240516,0.0001669724,0.4996038,0.2489105,0.0006327939,0.007665546,0.0001602513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941941,0.002973797,0.0453194,0.000115664,0.00009329124,0.0001233972,0.00228145,0.002104538,0.005047458],"genre_scores_gemma":[0.9740016,0.0003526261,0.01951503,0.00003571204,0.00001763289,0.00006012139,0.004019385,0.0007252633,0.001272569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001854074,"threshold_uncertainty_score":0.006225526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06199287340666532,"score_gpt":0.3588755789317609,"score_spread":0.2968827055250955,"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."}}