{"id":"W2319630565","doi":"10.5281/zenodo.17412","title":"uvcdat: RC1 candidate for UV-CDAT version 2.2.0","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association for Laboratory Animal Science","funders":"","keywords":"Environmental 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":[],"consensus_categories":[],"category_scores_codex":[0.003378813,0.002407684,0.001597139,0.002437824,0.001229209,0.003969946,0.004652861,0.001788417,0.141098],"category_scores_gemma":[0.008627024,0.001916655,0.001757467,0.002520113,0.0005290416,0.003657656,0.0019796,0.003710372,0.09438864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059095,"about_ca_system_score_gemma":0.002223068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00511852,"about_ca_topic_score_gemma":0.005307989,"domain_scores_codex":[0.9985065,0.0001529322,0.0001269229,0.000349908,0.0006283022,0.0002355105],"domain_scores_gemma":[0.9965981,0.0007207898,0.0002206394,0.0008601503,0.001290891,0.0003094844],"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":[0.0007185715,0.0001171752,0.001774605,0.0005885024,0.0001371573,0.0001662412,0.0002515672,0.001294415,0.0132587,0.00467161,0.9361806,0.04084089],"study_design_scores_gemma":[0.0006583267,0.0001165605,0.004051679,0.0002290805,0.0001243533,0.0003870077,0.0001377459,0.03481274,0.07105067,0.01201064,0.8761324,0.0002888694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.003123043,0.0002732993,0.112321,0.0003930219,0.0003738544,0.0002415514,0.07069634,0.7992795,0.01329841],"genre_scores_gemma":[0.03469435,0.0004129546,0.2073949,0.0008667175,0.0002596457,0.001182498,0.2178011,0.5132425,0.02414531],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.141098,"threshold_uncertainty_score":0.4720197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06377771230971392,"score_gpt":0.3107661036305678,"score_spread":0.2469883913208539,"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."}}