{"id":"W4399932973","doi":"10.23977/jeeem.2024.070203","title":"Analysis of Key Technologies and Application Cases of Industrial Robots in Intelligent Manufacturing","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Robot; Manufacturing engineering; Computer science; Engineering; Artificial intelligence; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002301706,0.0007122977,0.0003933811,0.003527668,0.001339647,0.00362087,0.001068366,0.001950557,0.004135356],"category_scores_gemma":[0.005568958,0.0004197767,0.0009689314,0.002709678,0.002175443,0.004339184,0.001573586,0.0009587461,0.001113235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001958198,"about_ca_system_score_gemma":0.001150733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001943474,"about_ca_topic_score_gemma":0.002002101,"domain_scores_codex":[0.9968713,0.00103357,0.0002172832,0.000301451,0.001173313,0.0004031849],"domain_scores_gemma":[0.996015,0.0024433,0.0004455161,0.0003699875,0.0005669928,0.0001592787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001518368,0.0001909246,0.01342642,0.001087811,0.00005448092,0.00891267,0.003906558,0.0524829,0.008968604,0.6859812,0.006153239,0.2186833],"study_design_scores_gemma":[0.00005028357,0.0004667979,0.01930808,0.001666871,0.0001745505,0.01142209,0.008811162,0.1895139,0.03620493,0.2605493,0.4715964,0.0002356104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.225251,0.01737134,0.392075,0.004035457,0.000200218,0.0006810353,0.0004060478,0.00070245,0.3592774],"genre_scores_gemma":[0.8156565,0.01026668,0.1555754,0.0002011953,0.00006663958,0.0003078986,0.0003033214,0.000104128,0.01751819],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004135356,"threshold_uncertainty_score":0.01420772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007553101667537677,"score_gpt":0.2163738880931541,"score_spread":0.2088207864256164,"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."}}