{"id":"W2596428662","doi":"10.1007/978-3-319-52483-2","title":"Foundations of Computer Vision","year":2017,"lang":"en","type":"book","venue":"Intelligent systems reference library","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Computer graphics (images)","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":[0.0005110469,0.001505638,0.001404989,0.002382498,0.0008153295,0.003945115,0.001731807,0.001398586,0.03252423],"category_scores_gemma":[0.001676574,0.0006121277,0.0006385542,0.00328885,0.001624854,0.00341321,0.001674877,0.002643312,0.02888256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483527,"about_ca_system_score_gemma":0.001999082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001884541,"about_ca_topic_score_gemma":0.001917706,"domain_scores_codex":[0.9992459,0.0001068607,0.00003092527,0.0001506617,0.0004023622,0.00006325846],"domain_scores_gemma":[0.9992713,0.0002380571,0.0000347206,0.0001749544,0.0002327398,0.00004823439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001666511,0.0000372854,0.0001094218,0.0006864147,0.00002989191,0.00004591802,0.00009643285,0.002323495,0.0009508695,0.2915339,0.1849773,0.5191923],"study_design_scores_gemma":[0.000006896246,0.00001598,0.0003059094,0.0003103057,0.00001724788,0.000169253,0.00004839912,0.005431804,0.0006529348,0.3102687,0.6827546,0.00001790739],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001341261,0.1490957,0.3500673,0.004502409,0.007611006,0.0001401589,0.0008311694,0.002830183,0.4835808],"genre_scores_gemma":[0.05998232,0.1873817,0.1795526,0.002361236,0.009783067,0.0005200506,0.002003944,0.001042436,0.5573727],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03252423,"threshold_uncertainty_score":0.1088044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03531457705951702,"score_gpt":0.2838488421116975,"score_spread":0.2485342650521805,"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."}}