{"id":"W1609990112","doi":"10.1155/2015/721842","title":"Research on the Fundamental Principles and Characteristics of Correspondence Function","year":2015,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Epipolar geometry; Mathematics; Fundamental matrix (linear differential equation); Similarity (geometry); Function (biology); Parametric statistics; Point (geometry); Transformation (genetics); Space (punctuation); Homography; Image (mathematics); Margin (machine learning); Algorithm; Consistency (knowledge bases); Nonparametric statistics; Matrix similarity; Projective space; Computer science; Pure mathematics; Artificial intelligence; Discrete mathematics; Geometry; Mathematical analysis; Projective test; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006469267,0.001040664,0.001477604,0.00444304,0.001604239,0.005283847,0.002553129,0.00350594,0.002859593],"category_scores_gemma":[0.03547274,0.001022034,0.001420052,0.004925067,0.007285715,0.01448832,0.003059509,0.003845166,0.0007872517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002455065,"about_ca_system_score_gemma":0.001520452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001410912,"about_ca_topic_score_gemma":0.0003365372,"domain_scores_codex":[0.9930039,0.001933812,0.0003998734,0.001935989,0.002398316,0.0003280872],"domain_scores_gemma":[0.9789687,0.01400919,0.001565148,0.002562271,0.002624799,0.0002698923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006232877,0.00003905281,0.001574684,0.0002793435,0.00004841603,0.0001544044,0.0004549161,0.0314863,0.004279974,0.8736016,0.0006774424,0.08734151],"study_design_scores_gemma":[0.00002891863,0.0001780155,0.002613463,0.0001306431,0.00003796101,0.0008176383,0.000301304,0.2565617,0.007071972,0.7197611,0.01237256,0.0001247439],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02197463,0.004218005,0.9632807,0.0005482623,0.0001201402,0.00006535609,0.00006093055,0.0001689421,0.009562943],"genre_scores_gemma":[0.6511227,0.007436245,0.334741,0.0003846806,0.0007130654,0.0004033464,0.0002647037,0.0002987781,0.004635383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006469267,"threshold_uncertainty_score":0.03421313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1326115430819208,"score_gpt":0.3353264972244601,"score_spread":0.2027149541425393,"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."}}