{"id":"W7116762773","doi":"10.18280/mmep.121132","title":"Design and Development of an Intelligent Control System for an Ornament Laser Cutting Machine","year":2025,"lang":"","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Control system; Laser cutting; Intelligent control; Expert system; Laser; Development (topology); Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001542028,0.0005174194,0.0008234096,0.0002342583,0.0001708815,0.000244348,0.000220679,0.000248465,0.000002798509],"category_scores_gemma":[0.00003617669,0.0004937835,0.00004476084,0.00012479,0.00004929346,0.0002346302,0.00007994172,0.0002182187,9.163525e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001414329,"about_ca_system_score_gemma":0.00005650851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008992683,"about_ca_topic_score_gemma":3.596442e-7,"domain_scores_codex":[0.9975355,0.00004691792,0.001206648,0.0004959704,0.0001920304,0.0005229909],"domain_scores_gemma":[0.9989597,0.0002591138,0.0001263684,0.0003215208,0.0001097559,0.0002235974],"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":[0.0000587496,0.0001246851,0.000001025061,0.02610478,0.0001708538,9.581042e-7,0.002040745,0.9541858,0.00657163,0.004087881,0.00000134869,0.006651558],"study_design_scores_gemma":[0.0006278349,0.000190166,3.639235e-7,0.004770294,0.0001450497,0.00000860093,0.00009146012,0.9161438,0.07318021,0.004351917,0.0000759741,0.0004142799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03699026,0.0009523594,0.9598715,0.00001723362,0.0001638404,0.001369594,0.00001295213,0.0005922875,0.00002991381],"genre_scores_gemma":[0.5422393,0.00003086076,0.4574475,0.000003643242,0.00001998909,0.0001828245,0.00000541663,0.00006147497,0.000008949495],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.505249,"threshold_uncertainty_score":0.9997514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03129664133799868,"score_gpt":0.2392083410494323,"score_spread":0.2079116997114336,"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."}}