{"id":"W4409793592","doi":"10.61091/jcmcc127a-157","title":"Design of Intelligent Management System for Underground Cable Tunnels and Integration of Robotic Inspection and Defect Recognition Technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Power Line Inspection Robots","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Computer science; Systems engineering; Construction engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0007853502,0.0001610519,0.0005394591,0.0004977506,0.000092723,0.00004747926,0.00008984141,0.0001131265,3.860515e-7],"category_scores_gemma":[0.000127371,0.0001580408,0.00005241334,0.0003763312,0.00006201016,0.0001098484,0.00005967232,0.0001730388,8.439292e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294892,"about_ca_system_score_gemma":0.00002851621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005774803,"about_ca_topic_score_gemma":3.711432e-7,"domain_scores_codex":[0.9987019,0.00004229213,0.000852513,0.0001162736,0.0001572128,0.0001298607],"domain_scores_gemma":[0.9985892,0.0003966955,0.0004620873,0.00009817581,0.000414223,0.00003959811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002691339,0.0004281462,0.00009702515,0.00571523,0.0007904593,0.000004818216,0.0006737121,0.02500878,0.009950041,0.9475881,0.0001258933,0.009348584],"study_design_scores_gemma":[0.004344671,0.001439605,0.00007322426,0.003041605,0.0004799123,0.00008751891,0.002025787,0.3034973,0.02699581,0.6577535,0.00001995656,0.0002411263],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1533635,0.0005295281,0.8383836,0.00002283104,0.007016993,0.0004578603,9.146741e-7,0.00005912822,0.0001656775],"genre_scores_gemma":[0.9790133,0.0001578033,0.02068128,0.000001130005,0.000122192,0.000005202838,7.343145e-7,0.0000166613,0.000001743355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8256498,"threshold_uncertainty_score":0.6444717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01812263560825396,"score_gpt":0.2447871432488362,"score_spread":0.2266645076405823,"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."}}