{"id":"W2956642424","doi":"","title":"Live studies at REFSQ 2019","year":2019,"lang":"en","type":"article","venue":"University of Twente Research Information","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Waterloo","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004829028,0.00003671232,0.0001100873,0.0001825451,0.00009528023,0.000004166424,0.0001081283,0.0000382909,0.0003945019],"category_scores_gemma":[0.0001233594,0.00003444402,0.00003933482,0.0001705634,0.0001566297,0.0002948534,0.0002071997,0.0001659937,0.0013376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001828864,"about_ca_system_score_gemma":0.00005961509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001281999,"about_ca_topic_score_gemma":0.00000310044,"domain_scores_codex":[0.9992747,0.00002525854,0.00009874378,0.00006074279,0.0004067459,0.0001338084],"domain_scores_gemma":[0.9990694,0.00007048836,0.00005665405,0.0002160291,0.0005077038,0.00007974859],"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":[0.0002999241,0.00008939529,0.01084629,0.0006193581,0.0001062724,0.00000441301,0.004304368,0.000004920667,0.003421758,0.004939981,0.9659039,0.00945941],"study_design_scores_gemma":[0.001087968,0.0003059404,0.006986249,0.0003056841,0.00002155701,0.000009475446,0.00722251,0.002154815,0.001834155,0.0001906485,0.9798092,0.00007177295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382384,0.0001143783,0.000553421,0.0160162,0.00005317579,0.001002682,0.00002359889,0.0000993058,0.04389883],"genre_scores_gemma":[0.9513022,0.002390106,0.008087676,0.0002109496,0.00002649381,0.000001266602,0.0001810261,0.00000519071,0.03779505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01580525,"threshold_uncertainty_score":0.99944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07855685358484406,"score_gpt":0.3890420224114062,"score_spread":0.3104851688265621,"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."}}