{"id":"W2375991779","doi":"","title":"Study on Tibetan Character Contour Line Extraction Based on Ant Colony Algorithm","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image and Video Stabilization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Character (mathematics); Computer science; Ant colony optimization algorithms; Artificial intelligence; Line (geometry); Pattern recognition (psychology); Contour line; Skeleton (computer programming); Algorithm; Character recognition; Computer vision; Image (mathematics); Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003874274,0.000288887,0.0003809059,0.0009027821,0.0003118695,0.0005646726,0.0004074834,0.0003851681,0.001226024],"category_scores_gemma":[0.001371598,0.0001947734,0.0002408683,0.001226384,0.00024546,0.0008960863,0.00013672,0.0002426478,0.0002741254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002410502,"about_ca_system_score_gemma":0.0003296869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003446183,"about_ca_topic_score_gemma":0.002073707,"domain_scores_codex":[0.9996561,0.00007040074,0.00002595294,0.00006052554,0.000168246,0.00001869733],"domain_scores_gemma":[0.9992902,0.000292653,0.0000377038,0.00004736473,0.0003101417,0.00002179138],"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":[0.0003107714,0.00008637121,0.007242416,0.0005139012,0.00007396858,0.000870818,0.0007191653,0.05502745,0.1469743,0.008769969,0.001960453,0.7774504],"study_design_scores_gemma":[0.00004130728,0.0002174288,0.0100969,0.00004611335,0.00007047416,0.001078145,0.0002176692,0.8844333,0.08294779,0.002568387,0.0182348,0.00004765738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2467746,0.003290178,0.7348659,0.0002464236,0.0001055898,0.00008733682,0.0000476691,0.0007316871,0.0138507],"genre_scores_gemma":[0.7173438,0.00200151,0.2708097,0.00009434351,0.00005606362,0.00005057169,0.0001713591,0.0001453342,0.009327244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003446183,"threshold_uncertainty_score":0.006852269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02740101784521674,"score_gpt":0.2884663153094588,"score_spread":0.2610652974642421,"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."}}