{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001065739,0.00007541725,0.00009433592,0.00003636286,0.00004480336,0.00001990973,0.00004695374,0.00002864817,0.00003579398],"category_scores_gemma":[0.000007410849,0.00007418855,0.00002083274,0.0003327412,0.00001044448,0.00006695261,0.00001440372,0.0000886861,0.00001772061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005595361,"about_ca_system_score_gemma":0.000008417482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000381597,"about_ca_topic_score_gemma":0.00006599085,"domain_scores_codex":[0.9994879,0.00001579914,0.0001422373,0.0001056358,0.00009060687,0.0001578477],"domain_scores_gemma":[0.9997725,0.0000734947,0.00001492344,0.00009229266,0.00001428541,0.00003248747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[7.635968e-7,0.00002317129,0.0009519041,0.00007026393,0.000006662655,0.000003186738,0.00001584385,0.02120798,0.958837,0.002921576,0.0002840158,0.01567762],"study_design_scores_gemma":[0.0006274597,0.00002420321,0.2091751,0.000120375,0.00001734829,0.000002502993,0.0005239609,0.7554975,0.0184402,0.01078047,0.004318457,0.0004724322],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96021,0.00001378145,0.03604525,0.00002351329,0.00005715838,0.0001628329,0.0001684708,0.0003005034,0.003018553],"genre_scores_gemma":[0.9381101,0.000007088376,0.06168096,0.00002230853,0.00004122769,0.00003844991,0.00006740648,0.00001589699,0.00001657427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9403968,"threshold_uncertainty_score":0.3025321,"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."}}