{"id":"W2136157956","doi":"10.1109/iembs.2000.901660","title":"Incorporating geometric uncertainties into dose calculations with convolution: the effect of spatial invariance","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Convolution (computer science); Curvature; Gaussian; Displacement (psychology); Surface (topology); Position (finance); Gaussian curvature; Mathematics; Mathematical analysis; Physics; Optics; Geometry; Computer science; Artificial intelligence","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":[0.005906879,0.001077704,0.001119967,0.000957928,0.000642185,0.001771622,0.001527502,0.001345484,0.001213955],"category_scores_gemma":[0.02201883,0.0008730154,0.00161697,0.001601128,0.001238965,0.002635437,0.001864989,0.001485891,0.0003850203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001886093,"about_ca_system_score_gemma":0.00136811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003348542,"about_ca_topic_score_gemma":0.003556206,"domain_scores_codex":[0.9958552,0.001572432,0.0003429253,0.0002863489,0.001753185,0.000189845],"domain_scores_gemma":[0.9867801,0.008844692,0.001304601,0.002066593,0.000882905,0.0001210259],"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":[0.0004918526,0.00009621666,0.007540133,0.0004040172,0.0004662411,0.000269385,0.0006395692,0.6877694,0.03023411,0.03080584,0.0008381845,0.240445],"study_design_scores_gemma":[0.00003439737,0.0002106594,0.004295675,0.00005951483,0.0001978119,0.0007443155,0.00004171675,0.9220794,0.05233987,0.01430294,0.00558152,0.0001121548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02018454,0.0004258337,0.9775523,0.0001394189,0.0000359902,0.00003746634,0.00002281541,0.000673285,0.0009283242],"genre_scores_gemma":[0.4733799,0.0006532993,0.5228447,0.0002558624,0.00004464997,0.0000896088,0.00007544875,0.0009233254,0.001733279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005906879,"threshold_uncertainty_score":0.03123891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008279558680284436,"score_gpt":0.2419063500105567,"score_spread":0.2336267913302722,"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."}}