{"id":"W4415724545","doi":"10.3788/lop250887","title":"复杂交通场景下道路毫米波雷达-相机融合自动标定","year":2025,"lang":"en","type":"article","venue":"Laser & Optoelectronics Progress","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Telmatology; Natural (archaeology); Metamorphic petrology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003264321,0.001518673,0.001095639,0.002556101,0.002134784,0.005910727,0.001346186,0.001636901,0.01460801],"category_scores_gemma":[0.008142227,0.0009447212,0.001113145,0.002762359,0.003198875,0.008400135,0.002047824,0.002832737,0.006794401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002420615,"about_ca_system_score_gemma":0.004884931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01540422,"about_ca_topic_score_gemma":0.01109749,"domain_scores_codex":[0.997827,0.0005796163,0.0001660706,0.0006996456,0.000522599,0.0002051082],"domain_scores_gemma":[0.9976222,0.000849246,0.0002003022,0.0002278007,0.0009714041,0.0001290397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005595757,0.0001207451,0.01599009,0.001688302,0.0003682457,0.0007614585,0.003524136,0.06459023,0.01180323,0.2697968,0.05146099,0.5793361],"study_design_scores_gemma":[0.0001866887,0.00022438,0.02508453,0.0009851698,0.000567916,0.001385211,0.006677566,0.3500196,0.02257493,0.3458407,0.2459625,0.0004908257],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06773542,0.01083082,0.7116432,0.007930538,0.001314904,0.0003254101,0.001837613,0.003351752,0.1950303],"genre_scores_gemma":[0.6237746,0.00925466,0.3063435,0.001399658,0.0007957624,0.0005665054,0.002607342,0.001245777,0.05401208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01540422,"threshold_uncertainty_score":0.0488686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003263843300512181,"score_gpt":0.2683212901528296,"score_spread":0.2650574468523175,"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."}}