{"id":"W4402981172","doi":"10.1109/otcon60325.2024.10687734","title":"The Future of Wire Arc Additive Manufacturing Comprehensive Strategies for Improved Close Loop Monitoring and Control","year":2024,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Loop (graph theory); Arc (geometry); Control (management); Manufacturing engineering; Computer science; Engineering; Automotive engineering; Control engineering; Mechanical engineering; Mathematics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001650393,0.000523133,0.0004408287,0.0006273073,0.0003727556,0.001928721,0.001235548,0.001283016,0.005247024],"category_scores_gemma":[0.001338488,0.0002086416,0.0003057964,0.0004941103,0.001296771,0.003364068,0.0009716548,0.001061163,0.00100855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009139864,"about_ca_system_score_gemma":0.001110925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008848357,"about_ca_topic_score_gemma":0.000828194,"domain_scores_codex":[0.9990284,0.0001396891,0.00003200226,0.000125778,0.0005979556,0.00007603868],"domain_scores_gemma":[0.9991274,0.00027061,0.00009615067,0.0001418127,0.0002882651,0.00007576251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001678183,0.0001807819,0.0004585971,0.0005687604,0.00003209054,0.00009152413,0.0002128536,0.01631693,0.05031376,0.1444066,0.007890332,0.7793599],"study_design_scores_gemma":[0.00006924101,0.001808428,0.001801603,0.0005330426,0.0000853196,0.0005125907,0.0004892306,0.1289033,0.08314197,0.1267753,0.6557372,0.0001428517],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.04784467,0.1207412,0.7364267,0.01756184,0.001295722,0.0001173838,0.0001112196,0.003161528,0.07273967],"genre_scores_gemma":[0.5213179,0.05363248,0.3935652,0.002312113,0.0008806749,0.000125589,0.0001804055,0.00021914,0.0277664],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005247024,"threshold_uncertainty_score":0.01755303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00787455091238502,"score_gpt":0.2285049600504379,"score_spread":0.2206304091380529,"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."}}