{"id":"W2954612568","doi":"10.1002/acm2.12673","title":"Development and clinical implementation of eclipse scripting‐based automated patient‐specific collision avoidance software","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Eclipse; Computer science; Scripting language; Software; Collision avoidance; Software engineering; Collision; Programming language; Physics; Astronomy","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":[0.003201681,0.0008165276,0.0004687586,0.0006077946,0.0001884741,0.0006630925,0.002260227,0.0004126122,0.007057788],"category_scores_gemma":[0.007896141,0.0006357115,0.0006675543,0.0003091319,0.0002918719,0.0005063238,0.0007526837,0.0009825297,0.002632857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005482843,"about_ca_system_score_gemma":0.001542704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001985156,"about_ca_topic_score_gemma":0.00206497,"domain_scores_codex":[0.9986694,0.0002525365,0.0001826311,0.0002215412,0.0005757889,0.00009803539],"domain_scores_gemma":[0.9959607,0.001430731,0.0003101602,0.0006496881,0.001414309,0.0002344919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001761579,0.0005341003,0.01783181,0.0005174988,0.0001952415,0.001096299,0.001040273,0.03234129,0.1424673,0.004094869,0.0303647,0.7677552],"study_design_scores_gemma":[0.001002164,0.001488307,0.02667984,0.0002465998,0.0002256092,0.003413308,0.0001449749,0.4916449,0.3422616,0.002664581,0.1298832,0.0003449318],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.04799572,0.000196836,0.8600147,0.0001693604,0.0001210527,0.00103551,0.001147645,0.0826556,0.006663581],"genre_scores_gemma":[0.2195731,0.0001840302,0.75354,0.0002632537,0.0000413487,0.001307365,0.004828348,0.01335335,0.006909228],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.007057788,"threshold_uncertainty_score":0.02361065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388701101341429,"score_gpt":0.37204765913343,"score_spread":0.3481606481200157,"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."}}