{"id":"W4413191133","doi":"10.1016/j.rineng.2025.106660","title":"LLM-driven agent for speech-enabled control of industrial robots: A case study in snow-crab quality inspection","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"Atlantic Canada Opportunities Agency","keywords":"Quality (philosophy); Snow; Robot; Control (management); Computer science; Environmental science; Artificial intelligence; Geography; Meteorology; Physics","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":[0.001015375,0.0005431998,0.0004980426,0.0002093936,0.0004428983,0.0008797181,0.001152854,0.001283855,0.001833661],"category_scores_gemma":[0.002520332,0.0002287988,0.0004145381,0.0001696721,0.0007102445,0.0008471354,0.0009042998,0.0006964029,0.0005166255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006224072,"about_ca_system_score_gemma":0.0008014541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004584375,"about_ca_topic_score_gemma":0.004413249,"domain_scores_codex":[0.9991714,0.0003408359,0.00006032969,0.0001235298,0.0002360073,0.00006798385],"domain_scores_gemma":[0.9984458,0.000936332,0.0001053056,0.0001675236,0.0002568235,0.00008811117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002455965,0.002036604,0.01433718,0.001863925,0.000176241,0.01363825,0.008900402,0.4311508,0.2056065,0.01378885,0.006968322,0.2990769],"study_design_scores_gemma":[0.0001437624,0.0008709573,0.003760491,0.00006030026,0.00007010112,0.00112164,0.001249949,0.9010353,0.07359446,0.002118406,0.01590014,0.00007446571],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6991043,0.0005021276,0.2872116,0.0005830668,0.00007871132,0.0005302285,0.000217314,0.004585191,0.007187473],"genre_scores_gemma":[0.9150946,0.0001145109,0.07963327,0.0001033601,0.00001272312,0.0002034788,0.00015344,0.0001701091,0.004514467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004584375,"threshold_uncertainty_score":0.009115398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05118323748346295,"score_gpt":0.3073325144293131,"score_spread":0.2561492769458502,"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."}}