{"id":"W7081924290","doi":"10.11159/icmie25.170","title":"Design and Development of an Eight-Legged Wheeled Wall Pressed In-Pipe Inspection Robot for Complex Pipeline Networks","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Robot; Development (topology); Industrial robot; Automation; Mobile robot","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":[0.0003450915,0.0004663204,0.0002976637,0.0003285877,0.0002665211,0.0003450645,0.00131179,0.0006064028,0.003069901],"category_scores_gemma":[0.0004078242,0.0002920392,0.0002877136,0.00009509183,0.0002705042,0.000405078,0.0005120087,0.0004138517,0.00111649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002293746,"about_ca_system_score_gemma":0.001003992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009641268,"about_ca_topic_score_gemma":0.001110734,"domain_scores_codex":[0.9997837,0.0000209855,0.0000134893,0.00004201335,0.0001045323,0.00003535403],"domain_scores_gemma":[0.9997819,0.00002310636,0.00004980424,0.00002682994,0.00008036552,0.00003801629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004027734,0.0003036961,0.005442949,0.001306019,0.00007742437,0.001175233,0.0005648884,0.1488502,0.4208876,0.01257835,0.008464196,0.3999465],"study_design_scores_gemma":[0.000201288,0.003723941,0.008202036,0.0002067512,0.0001095103,0.001727272,0.0002298792,0.7105197,0.163892,0.0018829,0.109135,0.0001697056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06437644,0.0002113348,0.9202473,0.0002368773,0.0001389195,0.0005698475,0.0001300604,0.003181839,0.01090728],"genre_scores_gemma":[0.5145679,0.0002628675,0.4664382,0.0001295757,0.00001950527,0.0005692138,0.0002579468,0.0001170704,0.01763762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003069901,"threshold_uncertainty_score":0.01026988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386358683789773,"score_gpt":0.2189871132835563,"score_spread":0.2051235264456586,"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."}}