{"id":"W1997097636","doi":"10.1118/1.2955551","title":"Novel approach for the Monte Carlo calculation of free-air chamber correction factors","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Monte Carlo method; Kerma; Attenuation; Ionization chamber; Physics; Dosimetry; Computational physics; Range (aeronautics); Beam (structure); Photon; Backscatter (email); Optics; Nuclear medicine; Materials science; Computer science; Ionization; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007529423,0.0001110497,0.0001670548,0.00001158324,0.0001211817,0.00000238227,0.0001358745,0.00005001549,0.00002129571],"category_scores_gemma":[0.00002232406,0.00007421934,0.000125965,0.0001073,0.0001450226,0.00007719488,0.00002471935,0.0001537344,1.672136e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000228865,"about_ca_system_score_gemma":0.00004310143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000365547,"about_ca_topic_score_gemma":0.000001435762,"domain_scores_codex":[0.9992634,0.00001128992,0.0001626861,0.0001407685,0.0002859859,0.0001358884],"domain_scores_gemma":[0.9993824,0.0001560059,0.0001054419,0.0002429447,0.00006373884,0.00004951537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003447141,0.005495586,0.4104436,0.0002006651,0.001506504,0.000002057159,0.01543055,0.0547747,0.01161308,0.02335561,0.08391488,0.392918],"study_design_scores_gemma":[0.00419498,0.0003640066,0.0566293,0.00008553882,0.0001629165,0.000009605707,0.0003976269,0.7840126,0.1324736,0.004635509,0.01605459,0.00097966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03996254,0.00002551352,0.958936,0.00005468121,0.0001970608,0.0002957666,0.0000255285,0.00004403469,0.0004588805],"genre_scores_gemma":[0.9941788,0.00000599884,0.004835975,0.00004493733,0.0005842538,0.00006707211,0.00003120573,0.00002173165,0.0002299877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9542163,"threshold_uncertainty_score":0.3026577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02252500248220869,"score_gpt":0.2726518374425412,"score_spread":0.2501268349603325,"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."}}