{"id":"W2061583328","doi":"10.5244/c.20.73","title":"Reducing Search Space for Stereo Correspondence with Graph Cuts","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Exploit; Thresholding; Computer science; Range (aeronautics); Graph; Cut; Limiting; Artificial intelligence; Theoretical computer science; Image segmentation; Image (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008052702,0.0008592138,0.0009112495,0.001553348,0.0005538564,0.000752928,0.00105999,0.00123319,0.007488714],"category_scores_gemma":[0.003583488,0.0005984295,0.0007867377,0.001380086,0.0007388069,0.001706258,0.00140855,0.001321703,0.001245262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008719051,"about_ca_system_score_gemma":0.0009208978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003913035,"about_ca_topic_score_gemma":0.006701336,"domain_scores_codex":[0.9991331,0.0002220102,0.00002621383,0.0001228444,0.0004253543,0.00007056968],"domain_scores_gemma":[0.9980411,0.001377596,0.0001242782,0.0002141729,0.0001956598,0.00004707425],"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":[0.0003135627,0.0001713823,0.0007051015,0.0002238344,0.00005612792,0.0001451528,0.0001901325,0.3106391,0.02625323,0.03979481,0.005643983,0.6158636],"study_design_scores_gemma":[0.00005044248,0.00008012875,0.0002671626,0.00001516062,0.00001394739,0.0001157041,0.00007383312,0.9546193,0.009315078,0.03175176,0.003680552,0.00001677774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0131609,0.0001611138,0.9836753,0.00009945891,0.00001677591,0.00004591433,0.00004478384,0.0009698049,0.001825976],"genre_scores_gemma":[0.1421702,0.0001951822,0.8548794,0.0000924463,0.00002230856,0.0001503269,0.0002251594,0.0003436777,0.001921225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007488714,"threshold_uncertainty_score":0.02505231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646422651950752,"score_gpt":0.2854855304788687,"score_spread":0.2690213039593612,"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."}}