{"id":"W4398900506","doi":"10.7910/dvn/tpzpio/h12kzn","title":"CCES-L2016.rds","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001958809,0.005299835,0.002883239,0.006012212,0.001312636,0.004116328,0.006075797,0.005169889,0.1100097],"category_scores_gemma":[0.01021544,0.001007643,0.00310414,0.007288122,0.001132512,0.001971951,0.003772487,0.002506852,0.175982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002453274,"about_ca_system_score_gemma":0.003516974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02870799,"about_ca_topic_score_gemma":0.05521767,"domain_scores_codex":[0.9981686,0.0003750197,0.0001854067,0.0005200728,0.000424043,0.0003268626],"domain_scores_gemma":[0.997008,0.0008043846,0.0002444609,0.0008730696,0.0006602309,0.0004097958],"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":[0.00006767454,0.00002128851,0.0002787355,0.0006597797,0.00003480087,0.00001897942,0.000009921823,0.0002433628,0.00007323786,0.0002308824,0.996226,0.002135347],"study_design_scores_gemma":[0.0006596852,0.00006001632,0.002694102,0.0006696588,0.00009358075,0.0002415385,0.00008305008,0.001647263,0.0007106987,0.002820564,0.9902535,0.0000663664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001840703,0.000324919,0.0001183868,0.0001990407,0.00007933338,0.00002368022,0.9968094,0.001258135,0.001003041],"genre_scores_gemma":[0.0004031812,0.0001511694,0.0003431206,0.0001128755,0.00002603927,0.00007204188,0.998075,0.0001286818,0.0006878397],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8899903,"threshold_uncertainty_score":0.368019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02934637462288124,"score_gpt":0.3099654865498805,"score_spread":0.2806191119269992,"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."}}