{"id":"W4403730128","doi":"10.1007/978-3-031-72764-1_19","title":"UniCal: Unified Neural Sensor Calibration","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Computer science; Calibration; Artificial neural network; Artificial intelligence; Mathematics; Statistics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004059376,0.0004534622,0.0003877316,0.0007158656,0.0001919766,0.0009250213,0.002362286,0.0002080102,0.00002189267],"category_scores_gemma":[0.00006707348,0.000389656,0.0001287657,0.0007509472,0.0004880998,0.0009857541,0.001529859,0.0009918585,0.00009278737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001951522,"about_ca_system_score_gemma":0.0002858195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007705275,"about_ca_topic_score_gemma":0.00001408461,"domain_scores_codex":[0.9965941,0.00002582577,0.0004754619,0.001542626,0.0008121137,0.0005499034],"domain_scores_gemma":[0.997919,0.0003170115,0.0001514579,0.001279619,0.0001420491,0.0001909207],"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":[0.000003709982,0.0000131788,0.000007655004,0.00003664256,0.000006398604,0.0002406705,0.0003071502,0.0365904,0.0004789221,0.1103663,0.0000605263,0.8518885],"study_design_scores_gemma":[0.0000999008,0.0000569379,0.000009105081,0.0002119709,0.000003975286,0.00006908415,1.163233e-7,0.8261787,0.0005379298,0.1671777,0.005263095,0.000391493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001204105,0.0005984252,0.9874222,0.003478835,0.002712141,0.0002347448,0.000003189129,0.0004180792,0.005120355],"genre_scores_gemma":[0.07181972,0.00008974066,0.9162119,0.006181447,0.0008761644,0.000006878061,0.00001040315,0.00008665147,0.004717111],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.851497,"threshold_uncertainty_score":0.9998555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205961744064119,"score_gpt":0.2798506541904096,"score_spread":0.2577910367497684,"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."}}