{"id":"W2148879882","doi":"10.1109/iros.1992.587313","title":"A Combined Extended Circular Image And Spatial Occupancy Approach To 2-D Contour Matching.","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Similarity (geometry); Mathematics; Orientation (vector space); Matching (statistics); Regular polygon; Curve fitting; Image (mathematics); Position (finance); Binary number; Artificial intelligence; Metric (unit); Geometry; Pattern recognition (psychology); Computer science; 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":[0.001057805,0.0006244741,0.0009454421,0.002738385,0.0005084678,0.001769076,0.001533622,0.001240081,0.001805853],"category_scores_gemma":[0.005304692,0.0005869567,0.0008335627,0.003137189,0.00123207,0.002719255,0.001881475,0.0008971107,0.000802131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008695364,"about_ca_system_score_gemma":0.0006864687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002591573,"about_ca_topic_score_gemma":0.002382765,"domain_scores_codex":[0.9987751,0.0002822734,0.00005627922,0.0002546383,0.0005364711,0.00009517896],"domain_scores_gemma":[0.9980513,0.0005517961,0.0002360026,0.0006640719,0.0003914719,0.0001053772],"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":[0.0004115421,0.0001475422,0.00277996,0.000255516,0.0001457371,0.0001849671,0.000380603,0.2026994,0.04156253,0.1124383,0.003196558,0.6357974],"study_design_scores_gemma":[0.0000133162,0.00006616092,0.0006704074,0.00001603664,0.0000226052,0.0002684139,0.0000444307,0.9662265,0.009392969,0.01742897,0.005809005,0.0000412529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004391114,0.0001605486,0.9943482,0.00003725187,0.00001723228,0.00002623822,0.00002899967,0.0002475384,0.0007428692],"genre_scores_gemma":[0.2133437,0.0003069309,0.784117,0.00009228544,0.00007955661,0.0001111438,0.0002125744,0.0001691952,0.00156753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002738385,"threshold_uncertainty_score":0.006308973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01203320426788974,"score_gpt":0.2663145641369989,"score_spread":0.2542813598691092,"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."}}