{"id":"W2621971235","doi":"","title":"Results for Open3DGC and OpenCTM benchmarking","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Benchmarking; Computer science; Business","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":[0.007877273,0.002859468,0.002043399,0.004516944,0.001905574,0.003299848,0.003478926,0.003031988,0.02172108],"category_scores_gemma":[0.03527229,0.0006274009,0.001924146,0.006528874,0.001491583,0.00379539,0.002998848,0.001982121,0.01099519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002501019,"about_ca_system_score_gemma":0.002067116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02031087,"about_ca_topic_score_gemma":0.01715925,"domain_scores_codex":[0.9834123,0.004413716,0.001004987,0.002273249,0.006524675,0.002371065],"domain_scores_gemma":[0.977924,0.005921511,0.0004477936,0.007285856,0.00731763,0.001103216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007699035,0.002678961,0.01113488,0.00241215,0.000637765,0.0005615549,0.0004588167,0.1339426,0.01461491,0.017444,0.6084538,0.1999616],"study_design_scores_gemma":[0.00272349,0.001642604,0.04149304,0.0006026222,0.0005180265,0.0009025999,0.001738594,0.5677633,0.06260404,0.03230048,0.2872915,0.0004197336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5059705,0.006668777,0.05232416,0.003060284,0.0042632,0.0009548049,0.1397049,0.1162377,0.1708155],"genre_scores_gemma":[0.5422871,0.0009467868,0.07311817,0.00079271,0.000384566,0.0006693187,0.3382018,0.02085051,0.02274904],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02172108,"threshold_uncertainty_score":0.0726642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699163163596348,"score_gpt":0.2954004548273949,"score_spread":0.2684088231914314,"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."}}