{"id":"W4389540818","doi":"10.17118/11143/21178","title":"A method of evaluating ADAS camera performance in rain : case studieswith hydrophilic and hydrophobic lenses","year":2023,"lang":"en","type":"article","venue":"","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer vision; Artificial intelligence; Environmental science; Remote sensing; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001400756,0.0005570801,0.0003710682,0.001432672,0.0004775772,0.0007251533,0.0006425704,0.0008871437,0.001937951],"category_scores_gemma":[0.002854804,0.0002795015,0.000559799,0.001091746,0.0004433361,0.0005122633,0.0005593494,0.0002815727,0.0002484925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008172395,"about_ca_system_score_gemma":0.0002925321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005172401,"about_ca_topic_score_gemma":0.006369284,"domain_scores_codex":[0.9989483,0.0002493483,0.00009100541,0.0001475459,0.0004539322,0.0001098712],"domain_scores_gemma":[0.9965549,0.00153412,0.0003829698,0.0003277623,0.001132567,0.00006765455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003234126,0.003735957,0.1393458,0.003376038,0.0004119776,0.00403696,0.002580594,0.1370751,0.5201858,0.002279267,0.001657986,0.1820803],"study_design_scores_gemma":[0.0002239966,0.008159024,0.1209817,0.0001261776,0.0003779349,0.002454418,0.002669587,0.3387436,0.5206952,0.000637532,0.00473106,0.0001997925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813073,0.0003989061,0.01555661,0.00002598618,0.00001364369,0.0002845201,0.0002694839,0.00006102821,0.002082509],"genre_scores_gemma":[0.9798865,0.0001848503,0.01884617,0.000007492967,0.000004070519,0.00007079563,0.0001202283,0.00001052893,0.0008694199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005172401,"threshold_uncertainty_score":0.0102846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09627275192302928,"score_gpt":0.3668472994689304,"score_spread":0.2705745475459012,"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."}}