{"id":"W2152551018","doi":"10.7551/mitpress/1120.003.0099","title":"Very Loopy Probability Propagation for Unwrapping Phase Images","year":2002,"lang":"en","type":"book-chapter","venue":"The MIT Press eBooks","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Belief propagation; Phase (matter); Phase unwrapping; Computer science; Computer vision; Artificial intelligence; Computer graphics (images); Geography; Optics; Algorithm; Physics; Interferometry","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":[0.0001609254,0.0003115554,0.0002745691,0.00005383452,0.0001175664,0.00007117973,0.0001869807,0.000218318,0.00002072225],"category_scores_gemma":[0.00001919189,0.000252025,0.0001435892,0.00000566487,0.00009230577,0.0000434595,0.0000286685,0.0002349853,0.000009550824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007869158,"about_ca_system_score_gemma":0.00001439917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005812254,"about_ca_topic_score_gemma":0.000002205722,"domain_scores_codex":[0.9989684,0.00001818012,0.0003469302,0.0002573399,0.0001841317,0.0002249889],"domain_scores_gemma":[0.9991627,0.00009099764,0.00009878304,0.0004846625,0.0001146414,0.00004819491],"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":[0.0002127262,0.0001092552,7.61442e-7,0.003969786,0.0009097375,0.00001613727,0.001245712,0.3373117,0.007362048,0.5093971,0.018026,0.1214391],"study_design_scores_gemma":[0.001778902,0.0001961856,0.000001296969,0.0005905623,0.000546411,0.000007706394,0.000004431549,0.4989229,0.03099923,0.02656773,0.4393108,0.001073869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001410738,0.001090065,0.2676974,0.0000398814,0.0004997511,0.003125271,0.0001588703,0.0005596635,0.726688],"genre_scores_gemma":[0.04637999,0.0003635383,0.004307811,0.0001515602,0.001524468,0.0005785106,0.0004317944,0.000615105,0.9456472],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4828293,"threshold_uncertainty_score":0.9999932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04855075346469866,"score_gpt":0.2353800868955131,"score_spread":0.1868293334308144,"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."}}