{"id":"W4405518977","doi":"10.2316/j.2025.201-0458","title":"HOLLOW NANO WASTEWATER DRAINAGE DEFECT PIPELINE DETECTION ROBOT DESIGN BASED ON OPENCV, 84-90.","year":2024,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Nano-; Drainage; Wastewater; Computer science; Environmental science; Geology; Engineering; Environmental engineering; Operating system; Chemical engineering; Biology","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":[0.0002698031,0.0003158694,0.0003315086,0.0003617914,0.0002767897,0.0004127444,0.0006771917,0.000584571,0.002075702],"category_scores_gemma":[0.0002648366,0.0002797924,0.0003021288,0.0001440751,0.0003243014,0.0005165738,0.0004281966,0.000268,0.0007028165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004572087,"about_ca_system_score_gemma":0.00075369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008303275,"about_ca_topic_score_gemma":0.002070858,"domain_scores_codex":[0.9996237,0.00001478222,0.00001304349,0.00007490991,0.0002473181,0.00002632099],"domain_scores_gemma":[0.9996917,0.00003026127,0.00006872987,0.00003268465,0.0001434415,0.00003316031],"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":[0.00009229836,0.00008501481,0.0005821596,0.0001708246,0.000009381835,0.00005752828,0.0000620362,0.003863968,0.9464446,0.001390241,0.001050183,0.04619176],"study_design_scores_gemma":[0.00004637908,0.001313769,0.005753343,0.00002374865,0.00003130149,0.0005950982,0.00006764702,0.08384725,0.8833933,0.0005248487,0.02434487,0.00005850901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.282822,0.0005674516,0.6991191,0.0002150261,0.0001814842,0.0003119816,0.0002379923,0.002465724,0.01407923],"genre_scores_gemma":[0.7180781,0.0002043436,0.2631311,0.00007550661,0.00001989635,0.0002503413,0.000259616,0.0001415892,0.01783947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002075702,"threshold_uncertainty_score":0.006943941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728975804556378,"score_gpt":0.2239637254893557,"score_spread":0.2066739674437919,"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."}}