{"id":"W4414679671","doi":"10.1002/mp.70041","title":"Margins to account for cardiac and respiratory motion in cardiac radioablation","year":2025,"lang":"en","type":"article","venue":"Medical Physics","topic":"Cardiac Arrhythmias and Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia; BC Cancer Agency","funders":"Providence Health Care Research Institute; BC Cancer Foundation; Vancouver Coastal Health Research Institute","keywords":"Cardiorespiratory fitness; Margin (machine learning); Motion (physics); Amplitude; Respiratory system; Cardiac cycle","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":[0.001140579,0.0005266329,0.0003110144,0.0005779912,0.0001758503,0.0005169277,0.0003858373,0.0003757879,0.0009169906],"category_scores_gemma":[0.006526078,0.0002790435,0.0005131407,0.0002648651,0.0001952675,0.0004850818,0.0006650023,0.0004817553,0.0001816932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003677352,"about_ca_system_score_gemma":0.0004483645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001620348,"about_ca_topic_score_gemma":0.001422979,"domain_scores_codex":[0.9995449,0.0001318539,0.00005880202,0.00006838075,0.000165369,0.00003068986],"domain_scores_gemma":[0.9979432,0.001226338,0.0003096834,0.0002043824,0.0002545196,0.00006187511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001010414,0.0001144177,0.02343237,0.0003838791,0.0002753428,0.0002232567,0.0004044322,0.546858,0.1346737,0.003535983,0.00124678,0.2878414],"study_design_scores_gemma":[0.00003635238,0.0003516788,0.02757931,0.00005650727,0.0001382364,0.0003162905,0.00004174169,0.9055951,0.05975005,0.001667385,0.004407061,0.00006023698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3448635,0.001610092,0.6507565,0.000157416,0.0001258605,0.00007058028,0.0001248208,0.001098008,0.001193158],"genre_scores_gemma":[0.8965381,0.0001874022,0.1019348,0.00005041141,0.00003697239,0.00006634846,0.0001677249,0.0002954545,0.000722766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001620348,"threshold_uncertainty_score":0.00603205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364908418067256,"score_gpt":0.302515823172686,"score_spread":0.2888667389920135,"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."}}