{"id":"W2618540799","doi":"10.5815/ijisa.2017.06.06","title":"Batik Classification with Artificial Neural Network Based on Texture-Shape Feature of Main Ornament","year":2017,"lang":"en","type":"article","venue":"International Journal of Intelligent Systems and Applications","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Texture (cosmology); Artificial neural network; Artificial intelligence; Pattern recognition (psychology); Feature (linguistics); Computer vision; Image (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003525527,0.0001307841,0.000222683,0.0001418515,0.0001465312,0.0001967641,0.0002877684,0.00009935586,0.00001482271],"category_scores_gemma":[0.00002716924,0.0000969547,0.00007983417,0.00006524484,0.00004682321,0.0001160333,0.00001394004,0.0002181903,0.000004848983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009632404,"about_ca_system_score_gemma":0.00003202472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001834497,"about_ca_topic_score_gemma":0.0000101332,"domain_scores_codex":[0.9987936,0.00003199578,0.0005279187,0.0001166275,0.0004224969,0.0001073498],"domain_scores_gemma":[0.9986089,0.00008128679,0.0006289809,0.0002406007,0.0003662867,0.00007392947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006438807,0.0002526105,0.005710576,0.0001296436,0.000525159,0.00002335684,0.0001682785,0.7815873,0.009443555,0.02584632,0.006790172,0.1688791],"study_design_scores_gemma":[0.001140603,0.0006821994,0.01611829,0.001305155,0.0001039524,0.0002836758,0.0007871367,0.88928,0.004644823,0.0004303799,0.08478139,0.000442449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2879997,0.0009790747,0.695286,0.001891873,0.006118052,0.00184211,0.0001637612,0.00009437789,0.005625099],"genre_scores_gemma":[0.9981557,0.00004027589,0.0001984134,0.00001777379,0.001460685,0.00004095958,0.000007075183,0.00001651527,0.00006259962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.710156,"threshold_uncertainty_score":0.3953698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03132037076273415,"score_gpt":0.2769539758217607,"score_spread":0.2456336050590265,"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."}}