{"id":"W2318573798","doi":"10.1061/9780784412480.052","title":"Condition Assessments Using Pipe Penetrating Radar: The Metro Wastewater Reclamation District, Denver, CO—Harvard Gulch Interceptor Case Study","year":2012,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dawson College","funders":"","keywords":"Ground-penetrating radar; Rebar; Land reclamation; Asset management; Radar; Pipeline transport; Engineering; Environmental science; Civil engineering; Structural engineering; Environmental engineering","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":[0.0003983815,0.000493481,0.0003250002,0.0007500701,0.00206156,0.000989172,0.0009301601,0.001008651,0.001379492],"category_scores_gemma":[0.0008077945,0.0002886439,0.0001517065,0.001186329,0.0004857069,0.0004613852,0.0006710425,0.0004573327,0.0002345953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006394411,"about_ca_system_score_gemma":0.002900949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4430139,"about_ca_topic_score_gemma":0.7235932,"domain_scores_codex":[0.9991762,0.0002132614,0.00003025469,0.0001236019,0.0002581975,0.0001984029],"domain_scores_gemma":[0.9991695,0.0002095664,0.00009957494,0.00005473273,0.0003296958,0.0001369426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008905749,0.002436556,0.6041261,0.0006750355,0.0002529155,0.05522941,0.01341489,0.1090586,0.03308439,0.004124802,0.02197163,0.154735],"study_design_scores_gemma":[0.0002332262,0.002257933,0.7707449,0.0001229527,0.0001737791,0.006467225,0.0623886,0.08815038,0.02178183,0.0008796722,0.04661126,0.0001883348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868983,0.0001616046,0.001409232,0.0004053102,0.000007529095,0.0001860265,0.000389299,0.00008002594,0.01046277],"genre_scores_gemma":[0.991964,0.0001857242,0.001644991,0.00006462223,0.000006463735,0.00005147526,0.0002854011,0.00001326342,0.005784058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4430139,"threshold_uncertainty_score":0.8808706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05227319296845835,"score_gpt":0.3594710456617844,"score_spread":0.3071978526933261,"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."}}