{"id":"W6968786817","doi":"10.5281/zenodo.3451338","title":"Data pipelines in radiation oncology: lessons from software engineering","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Software; Pipeline transport; Pipeline (software); Automation; Process (computing); Software design; Workload; DICOM","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01393063,0.001312774,0.00075117,0.002709287,0.001401737,0.008534936,0.00426458,0.003128143,0.003360484],"category_scores_gemma":[0.03190927,0.00148836,0.001448038,0.003014412,0.007032081,0.01440945,0.00380298,0.00868854,0.002073157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003445832,"about_ca_system_score_gemma":0.004247649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008882889,"about_ca_topic_score_gemma":0.004884063,"domain_scores_codex":[0.9919828,0.00305696,0.0008033806,0.001004645,0.002712545,0.0004397297],"domain_scores_gemma":[0.9594475,0.02680995,0.0009399801,0.005586169,0.005876669,0.001339686],"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":[0.00009469892,0.000258053,0.005085952,0.002267821,0.0001207392,0.0005753832,0.006927304,0.03985744,0.004257542,0.3212295,0.02902164,0.5903038],"study_design_scores_gemma":[0.00007400083,0.0002629549,0.00232928,0.002120442,0.00008233538,0.001126162,0.002606235,0.05131764,0.006421481,0.4686608,0.4647904,0.0002083605],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01812159,0.01822117,0.8820212,0.04959421,0.0009695813,0.0001912122,0.000255203,0.003849382,0.02677636],"genre_scores_gemma":[0.1086824,0.02325263,0.8502203,0.003647565,0.0007607451,0.0002303834,0.0006934581,0.003399417,0.009113137],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01393063,"threshold_uncertainty_score":0.07367313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03967041443933286,"score_gpt":0.3384237878447443,"score_spread":0.2987533734054114,"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."}}