{"id":"W3084274556","doi":"10.1007/s11263-020-01366-3","title":"Rain Rendering for Evaluating and Improving Robustness to Bad Weather","year":2020,"lang":"en","type":"article","venue":"International Journal of Computer Vision","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":112,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Rendering (computer graphics); Robustness (evolution); Global illumination; Object detection; Synthetic data; Object based","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005217122,0.00005528354,0.00009898416,0.00009654243,0.00004224549,0.0001254463,0.0001851191,0.00001528547,0.00009875811],"category_scores_gemma":[0.0001011442,0.00004422926,0.00005863662,0.00006102533,0.000006342385,0.000249675,0.00001820459,0.00005250385,0.000003610483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005025043,"about_ca_system_score_gemma":0.00002047069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008379965,"about_ca_topic_score_gemma":0.000009285651,"domain_scores_codex":[0.9991743,0.00003483445,0.000243382,0.00009688612,0.0003823781,0.00006821016],"domain_scores_gemma":[0.999341,0.0001068082,0.0001502643,0.00002464785,0.0002827278,0.00009453248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001878581,0.000006791778,0.01197453,0.000008157195,0.00007295589,0.000006596063,0.0005994078,0.1950451,0.002265313,0.00001319015,0.0005027761,0.7893173],"study_design_scores_gemma":[0.0005193021,0.0004316094,0.02924458,0.00005975862,0.00001688233,0.00001189209,0.00004639604,0.9685594,0.0001395403,0.0001173201,0.0007861418,0.00006717485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.390667,0.00008089606,0.6054158,0.003367431,0.0003647812,0.0000464627,0.000004050552,0.000005118933,0.0000484858],"genre_scores_gemma":[0.8948734,0.000004821711,0.1039636,0.0006470751,0.0004954316,1.498553e-7,0.000004796731,0.000001941433,0.000008718453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7892501,"threshold_uncertainty_score":0.1803617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04708621936685208,"score_gpt":0.3068659415989364,"score_spread":0.2597797222320843,"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."}}