{"id":"W2157405987","doi":"10.1109/cvpr.1993.341084","title":"Active calibration: alternative strategy and analysis","year":2002,"lang":"en","type":"article","venue":"","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Calibration; Noise (video); Artificial intelligence; Computer vision; Image (mathematics); 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":[],"consensus_categories":[],"category_scores_codex":[0.00004593736,0.00005752832,0.00008291019,0.00008921752,0.00003329374,0.0001385818,0.0001958374,0.00002089188,0.0004202994],"category_scores_gemma":[0.000008665346,0.00004355986,0.00002855648,0.0003243593,0.00002663669,0.0006197611,0.00005566357,0.00004608266,0.00001063781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001022694,"about_ca_system_score_gemma":0.000002450158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002134102,"about_ca_topic_score_gemma":0.000010711,"domain_scores_codex":[0.9995143,0.00002217904,0.00008086004,0.0001750075,0.0001203968,0.00008725312],"domain_scores_gemma":[0.9997231,0.0000220082,0.00002168662,0.000141049,0.00004543327,0.000046724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002567033,0.00007518749,0.001492741,0.000002094597,0.0002332352,0.000004291062,0.000592327,0.00002055554,0.0009086424,0.9138907,0.001014888,0.08176284],"study_design_scores_gemma":[0.00008476409,0.0002203425,0.002822446,0.000003264297,0.00003396717,0.000001103637,0.00003578935,0.9545482,0.0301877,0.01171804,0.0002041055,0.0001402198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004496841,0.00002606615,0.7594188,0.0006661384,0.00001919988,0.00005340549,6.276489e-7,0.0001442511,0.2351747],"genre_scores_gemma":[0.9905237,0.00002035731,0.008388266,0.0001453567,0.00001289084,0.000005261273,4.170998e-7,0.000001180866,0.0009025912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9860268,"threshold_uncertainty_score":0.4601984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07170889210100308,"score_gpt":0.2766359611305012,"score_spread":0.2049270690294981,"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."}}