{"id":"W4385722662","doi":"10.1061/9780784485033.042","title":"Advanced Condition Assessment Using Pipe Penetrating Radar in Los Angeles County, California","year":2023,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Coquitlam College","funders":"","keywords":"Rebar; Water pipe; Ground-penetrating radar; Trenchless technology; Pipe; Corrosion; Geotechnical engineering; Reinforced concrete; Pipeline transport; Piping; Geology; Engineering; Radar; Materials science; Structural engineering; Composite material","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":[0.0002839716,0.0002120962,0.0001857291,0.001379292,0.0005347943,0.0007424951,0.000301513,0.000228639,0.001725095],"category_scores_gemma":[0.0006630835,0.0001725023,0.00009267971,0.0009949139,0.0001515144,0.000346495,0.0002993411,0.0002309736,0.0003026189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516726,"about_ca_system_score_gemma":0.001422079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3908397,"about_ca_topic_score_gemma":0.5144034,"domain_scores_codex":[0.9997655,0.00002145005,0.00001629927,0.00006881148,0.0001017434,0.00002618895],"domain_scores_gemma":[0.9991772,0.00006771306,0.0000974344,0.00002062705,0.000561629,0.00007545478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001980447,0.0004072133,0.8906083,0.0002214512,0.0001041286,0.00122116,0.002476131,0.005800285,0.006355748,0.0003058957,0.0171696,0.07513195],"study_design_scores_gemma":[0.00002569134,0.0001350968,0.9791719,0.00005658376,0.00003990946,0.0001104682,0.002608843,0.005852452,0.0006063033,0.00005479179,0.01131886,0.00001913659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804837,0.0005115181,0.001092247,0.0002427153,0.00002067523,0.0001198259,0.002814446,0.0002954097,0.01441952],"genre_scores_gemma":[0.9858311,0.0005115423,0.002827811,0.00005391367,0.00001651867,0.00007430181,0.002641599,0.00001786028,0.008025303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3908397,"threshold_uncertainty_score":0.7771295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288812392852766,"score_gpt":0.325908813510973,"score_spread":0.3030206895824453,"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."}}