{"id":"W3189550497","doi":"10.1061/9780784483602.038","title":"Innovative Overline Survey Techniques for the Water and Wastewater Industry","year":2021,"lang":"en","type":"article","venue":"Pipelines 2021","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Hospital","funders":"","keywords":"Pipeline transport; Reliability (semiconductor); Pipeline (software); Survey data collection; Cathodic protection; Integrity management; Engineering; Process (computing); Computer science; Reliability engineering; Forensic engineering; Environmental science; Environmental engineering; Mechanical engineering; Statistics","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":[0.0004812188,0.0001867421,0.0001922418,0.00004093183,0.00007335405,0.00006729054,0.0001285942,0.0001810487,0.00007653014],"category_scores_gemma":[0.0003652753,0.000106531,0.00002910936,0.0002775663,0.00007207865,0.0001047577,0.0001330387,0.0003433581,0.000003555562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002989281,"about_ca_system_score_gemma":0.00002151219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003763646,"about_ca_topic_score_gemma":0.00004380896,"domain_scores_codex":[0.9991372,0.00004868216,0.0002462705,0.0002186009,0.00009572681,0.0002535151],"domain_scores_gemma":[0.9988359,0.0003491482,0.00002269152,0.0002925092,0.0004669494,0.0000327565],"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":[0.000074654,0.00008838713,0.06811543,0.0004257564,0.0003423433,0.00005607032,0.0008958757,0.00006050674,0.8392553,0.002785692,0.03792313,0.04997687],"study_design_scores_gemma":[0.0001945567,0.00002948199,0.007527706,0.00007346571,0.0000202078,0.00004226036,0.00008195031,0.0009628944,0.9684137,0.01158825,0.01075043,0.0003150672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.920948,0.0009159506,0.0695136,0.002600724,0.000752433,0.001049388,0.0002760697,0.00148174,0.002462057],"genre_scores_gemma":[0.7880624,0.0001343414,0.2098936,0.0001997943,0.0005570629,0.0002205963,0.0002389336,0.000106294,0.0005870112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.14038,"threshold_uncertainty_score":0.4344207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02912948142242801,"score_gpt":0.2722876576606218,"score_spread":0.2431581762381938,"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."}}