{"id":"W2118086214","doi":"10.1088/1742-6596/102/1/012013","title":"A comparison of dose warping methods for 4D Monte Carlo dose calculations in lung","year":2008,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Cancer Institute; National Institutes of Health; Terry Fox Foundation","keywords":"Monte Carlo method; Nuclear medicine; Image warping; Interpolation (computer graphics); Mathematics; Computer science; Medicine; Statistics; Motion (physics); Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000178167,0.000143849,0.0005309387,0.00008198062,0.0001022211,0.00002029632,0.0001755801,0.00003449546,0.00001736264],"category_scores_gemma":[0.00001638624,0.0001311351,0.0001782196,0.0001700257,0.0001447963,0.0005512536,0.00002301276,0.0002203123,5.172271e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000419784,"about_ca_system_score_gemma":0.0002181117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006609791,"about_ca_topic_score_gemma":0.000004903314,"domain_scores_codex":[0.9989612,0.00007588627,0.000566932,0.0001050775,0.0001225502,0.0001684317],"domain_scores_gemma":[0.9986531,0.000144522,0.0006300987,0.0001475087,0.0003767075,0.00004813479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005053973,0.0008639122,0.1906791,0.0001455649,0.0004676672,0.000004765325,0.02023534,0.02059549,0.1348079,0.194407,0.0002188966,0.437069],"study_design_scores_gemma":[0.002508236,0.0007068276,0.01379816,0.0004509693,0.0001142251,0.00001348322,0.002636131,0.04723637,0.8697149,0.05994582,0.002287868,0.0005869674],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1523912,0.0001971462,0.8469633,0.0000656344,0.00006718528,0.0001754596,0.00001329466,0.000008950036,0.0001177698],"genre_scores_gemma":[0.7081999,0.00002346726,0.2915926,0.000005529655,0.000122717,0.00001207906,0.00000184745,0.00001248617,0.00002935999],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7349071,"threshold_uncertainty_score":0.5347536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06643590027465723,"score_gpt":0.4240842419430966,"score_spread":0.3576483416684393,"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."}}