{"id":"W4294382082","doi":"","title":"Monte Carlo simulation of a multi-leaf collimator design for telecobalt machine using BEAMnrc code","year":2010,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Laser and Thermal Forming Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monte Carlo method; Computer science; Collimator; Code (set theory); Computer graphics (images); Computational science; Programming language; Optics; Mathematics; Physics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004108771,0.0003493129,0.0005026054,0.0002951146,0.0004343977,0.0004904626,0.0007199105,0.0009453883,0.004774932],"category_scores_gemma":[0.001091729,0.000378159,0.0004171012,0.0005080187,0.0002576355,0.0003281053,0.0002111015,0.0003715234,0.000496641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360682,"about_ca_system_score_gemma":0.001033173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00794656,"about_ca_topic_score_gemma":0.008970507,"domain_scores_codex":[0.9998232,0.00004407677,0.000006606494,0.00002072674,0.00007778413,0.00002765489],"domain_scores_gemma":[0.9992933,0.0004090168,0.00006628915,0.00004477297,0.0001564236,0.00003024964],"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":[0.0000869663,0.00002384888,0.001449191,0.00007808808,0.00001568155,0.00008343352,0.00006944589,0.986759,0.004036448,0.00157292,0.0006225885,0.005202386],"study_design_scores_gemma":[0.00002507862,0.00003430749,0.00038184,0.000005593711,0.00000719537,0.00002546262,0.00001284278,0.996161,0.002091111,0.0002063156,0.001042353,0.000006913196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5570042,0.0008764061,0.3886925,0.0005483863,0.00009577507,0.0003346075,0.001475961,0.003790097,0.04718212],"genre_scores_gemma":[0.9049293,0.0001768295,0.08930832,0.00006901897,0.000009099879,0.0002314037,0.0003816343,0.0003534034,0.004541069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00794656,"threshold_uncertainty_score":0.01597375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2600706764439176,"score_gpt":0.5281909775414361,"score_spread":0.2681203010975184,"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."}}