{"id":"W2033448752","doi":"10.1120/jacmp.v3i2.2580","title":"Dosimetric verification of inverse planned step and shoot multileaf collimator fields from a commercial treatment planning system","year":2002,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Multileaf collimator; Imaging phantom; Radiation treatment planning; Nuclear medicine; Collimator; Medical physics; Dosimetry; Computer science; Mathematics; Radiation therapy; Medicine; Physics; Optics; Radiology","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":[0.001139753,0.0005026435,0.0003065781,0.0004532808,0.0002364131,0.0003449697,0.000595432,0.0003271024,0.005531405],"category_scores_gemma":[0.002563887,0.0003106934,0.0003962217,0.0004472108,0.0003133606,0.0002040786,0.0003592695,0.0004367108,0.000748602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007085662,"about_ca_system_score_gemma":0.0007038819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002020931,"about_ca_topic_score_gemma":0.002054095,"domain_scores_codex":[0.999343,0.0001215547,0.00004162346,0.0001023403,0.0003497225,0.0000417553],"domain_scores_gemma":[0.9991444,0.0002931421,0.00007747681,0.0002212403,0.0002330685,0.00003069015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002271136,0.0003504682,0.01282221,0.0005805056,0.0001063651,0.0003987351,0.0009039982,0.08789839,0.7493441,0.00325655,0.004689085,0.1373785],"study_design_scores_gemma":[0.0002675465,0.001814205,0.0444372,0.00004366094,0.0001368547,0.001146387,0.0001198757,0.09240594,0.8445278,0.000474297,0.0145569,0.00006925014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6970761,0.0009615663,0.2714887,0.0003229579,0.00009623878,0.001034161,0.003063222,0.005505608,0.02045151],"genre_scores_gemma":[0.9032508,0.0002014494,0.08937293,0.00007461222,0.0000155663,0.000327903,0.002118865,0.0009362089,0.003701585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005531405,"threshold_uncertainty_score":0.01850438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04651532861572585,"score_gpt":0.3406813206637979,"score_spread":0.294165992048072,"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."}}