{"id":"W2070581511","doi":"10.1118/1.4740170","title":"Poster — Thur Eve — 62: Assessing the clinical application of the van Herk margin formula for lung radiotherapy","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Margin (machine learning); Radiation therapy; Nuclear medicine; Medicine; Mathematics; Radiology; Computer science","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":[0.008348524,0.0005160981,0.0004262647,0.00116018,0.0003251366,0.001737868,0.0008917515,0.001055178,0.006504775],"category_scores_gemma":[0.03662197,0.0003661361,0.0007065591,0.0005242245,0.0004289666,0.0007309727,0.001335054,0.0005760036,0.001765147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007444513,"about_ca_system_score_gemma":0.0005473167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001061702,"about_ca_topic_score_gemma":0.0007683866,"domain_scores_codex":[0.9948726,0.00230491,0.000274698,0.0003830612,0.00206728,0.0000973651],"domain_scores_gemma":[0.9928704,0.004244551,0.0007513653,0.0009316879,0.001036912,0.0001650935],"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":[0.006949663,0.0006911763,0.05895215,0.001530836,0.0005549297,0.0005552503,0.0004871243,0.1344958,0.08387886,0.003960683,0.01810134,0.6898423],"study_design_scores_gemma":[0.0009394519,0.01436386,0.2004222,0.0005318098,0.0006566323,0.005518238,0.0003389661,0.5527946,0.1629993,0.00590871,0.05505814,0.0004681294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6511703,0.01716756,0.2731079,0.00271275,0.001898197,0.001969606,0.001706126,0.003761119,0.04650646],"genre_scores_gemma":[0.9364156,0.001085287,0.05592083,0.0003562966,0.0001768733,0.0002344635,0.000619438,0.00122397,0.003967357],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008348524,"threshold_uncertainty_score":0.04415172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01951955110300075,"score_gpt":0.3824840364702279,"score_spread":0.3629644853672271,"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."}}