{"id":"W1496702937","doi":"10.1118/1.4923960","title":"SU‐E‐P‐26: Oncospace: A Shared Radiation Oncology Database System Designed for Personalized Medicine, Decision Support, and Research","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Computer science; Database; DICOM; World Wide Web; Data management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004882667,0.0006769152,0.0008908903,0.002690712,0.0008302523,0.004640905,0.002714305,0.000693772,0.04967467],"category_scores_gemma":[0.01210317,0.000550402,0.000541702,0.003901697,0.0005909146,0.00426442,0.005058265,0.0008526166,0.01664015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740235,"about_ca_system_score_gemma":0.003428302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00442727,"about_ca_topic_score_gemma":0.004766495,"domain_scores_codex":[0.9968321,0.0007399268,0.00063967,0.0004965637,0.001077481,0.0002143319],"domain_scores_gemma":[0.9894783,0.001804718,0.0007875581,0.004800321,0.001831473,0.001297608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00209001,0.0001965553,0.01472673,0.0008637693,0.0001769297,0.0004286222,0.001157934,0.003834001,0.006955623,0.02913705,0.7355608,0.2048718],"study_design_scores_gemma":[0.0009102767,0.0002534276,0.01558756,0.0002122343,0.00009500718,0.0008098269,0.000497467,0.01891672,0.009687425,0.01300722,0.9398509,0.0001720243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.04653409,0.001646918,0.2463112,0.003227041,0.000664571,0.003776135,0.3167933,0.2648152,0.1162316],"genre_scores_gemma":[0.3003871,0.001011881,0.1171004,0.001823174,0.0003271451,0.002632029,0.5259997,0.02001856,0.03070016],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04967467,"threshold_uncertainty_score":0.1661783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0866412333439493,"score_gpt":0.438792937745935,"score_spread":0.3521517044019857,"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."}}