{"id":"W1487619122","doi":"10.1109/icpr.1988.28376","title":"Multi-layer projections for the classification of similar Chinese characters","year":2003,"lang":"en","type":"article","venue":"","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Character (mathematics); Chinese characters; Similarity (geometry); Pattern recognition (psychology); Displacement (psychology); Symmetry (geometry); Artificial intelligence; Computer science; Rotation (mathematics); Range (aeronautics); Mathematics; Algorithm; Image (mathematics); Geometry; Engineering; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006967464,0.0009056278,0.000650658,0.001911405,0.0005973032,0.0008909638,0.0007511177,0.0006407766,0.003130102],"category_scores_gemma":[0.001481855,0.0003389411,0.0008381248,0.001591022,0.0004250215,0.001433149,0.0008478194,0.0008366499,0.001652362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004037557,"about_ca_system_score_gemma":0.0006859505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002987995,"about_ca_topic_score_gemma":0.002956616,"domain_scores_codex":[0.999446,0.0001103839,0.00003294716,0.000141352,0.0001887771,0.00008059905],"domain_scores_gemma":[0.9994656,0.0001628515,0.00005299785,0.0001004027,0.000171195,0.00004688503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006340176,0.0001232491,0.001574034,0.0001479368,0.0000897331,0.0002202111,0.0002094899,0.01850125,0.06156034,0.004595207,0.004477327,0.9078671],"study_design_scores_gemma":[0.00004077059,0.0001698902,0.005143895,0.00003864818,0.00008343862,0.0006434838,0.0001547227,0.9247484,0.05525678,0.00674191,0.006920937,0.00005715439],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06896661,0.0006098393,0.9239745,0.0001378508,0.00009561451,0.0001632976,0.0003653166,0.003079004,0.002608027],"genre_scores_gemma":[0.2059887,0.0003546108,0.7884455,0.0000569749,0.00006455116,0.000168382,0.001179348,0.0001418934,0.003600059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003130102,"threshold_uncertainty_score":0.01047128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05365208085072221,"score_gpt":0.3354571413508876,"score_spread":0.2818050605001653,"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."}}