{"id":"W4405786882","doi":"10.1109/iros58592.2024.10802153","title":"Inline Photometrically Calibrated Hybrid Visual SLAM","year":2024,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"HORIZON EUROPE Framework Programme","keywords":"Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004710006,0.00009441416,0.00008912455,0.0002241125,0.00001627362,0.0001001868,0.00004790312,0.00003915072,0.0003365046],"category_scores_gemma":[0.00001871092,0.00008104559,0.00003532487,0.000580324,0.000009129457,0.00007912651,0.0000100511,0.00009097931,0.0002176807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003303235,"about_ca_system_score_gemma":0.00001389167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001731016,"about_ca_topic_score_gemma":0.00000331814,"domain_scores_codex":[0.999454,0.000007447624,0.0001569129,0.000117931,0.0001186166,0.0001451101],"domain_scores_gemma":[0.9997906,0.00004258289,0.000003629559,0.00007575944,0.00002561906,0.00006181663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005449873,0.00004663698,0.0001210382,0.000155457,0.00009312598,0.0001630723,0.00004502822,0.9291435,0.0198994,0.006078811,0.02516194,0.01908651],"study_design_scores_gemma":[0.00006960509,0.00002404305,0.00007854647,0.00001352621,0.000005742938,0.00000560311,0.000003001043,0.9667416,0.01632507,0.00006719272,0.01655434,0.0001117145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1703527,0.0005605866,0.8135076,0.0001398575,0.0007595236,0.0001183059,0.000009626879,0.00200527,0.01254648],"genre_scores_gemma":[0.9975324,0.00008381705,0.001235199,0.00009904303,0.0001028615,0.000002782257,0.00005643432,0.00003836228,0.0008490791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8271797,"threshold_uncertainty_score":0.3684489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006510264393786953,"score_gpt":0.2245084110520587,"score_spread":0.2179981466582717,"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."}}