{"id":"W2464048301","doi":"10.1061/9780784479957.023","title":"12” Ductile Iron Forcemain Inspection in the Dead of Winter: What Could Possibly Go Wrong?","year":2016,"lang":"en","type":"article","venue":"Pipelines 2016","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"PQ Corporation (Canada)","funders":"","keywords":"Pipeline (software); Asset management; Engineering; Forensic engineering; Computer science; Environmental science; Mechanical engineering; Business","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":[0.001876578,0.0004089805,0.0003504307,0.0005599153,0.001786324,0.001710154,0.0008849461,0.001618984,0.002440815],"category_scores_gemma":[0.00360578,0.0002386059,0.0002798332,0.0002963436,0.001217428,0.001812768,0.0006604852,0.001332861,0.0005497498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002170325,"about_ca_system_score_gemma":0.00157208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05155679,"about_ca_topic_score_gemma":0.1552335,"domain_scores_codex":[0.9991215,0.0001337185,0.00002750536,0.0001111043,0.0003220691,0.0002840689],"domain_scores_gemma":[0.9986762,0.0001734351,0.0001763561,0.00006378094,0.0006207254,0.0002894114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008910727,0.0004057622,0.4335862,0.0005584737,0.0000915248,0.009607624,0.01235211,0.003024847,0.02814909,0.004336,0.103455,0.4035422],"study_design_scores_gemma":[0.00008276855,0.002227593,0.6177993,0.001510414,0.00009555465,0.01026755,0.08145055,0.01153082,0.02476497,0.008667104,0.2412683,0.000335175],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8808084,0.004190953,0.01499171,0.05251785,0.001762234,0.000135202,0.0005315343,0.001341565,0.0437206],"genre_scores_gemma":[0.9779233,0.00142363,0.007908652,0.002080276,0.0001177397,0.0000146855,0.0002256626,0.00008417611,0.01022195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05155679,"threshold_uncertainty_score":0.1025134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008338499899854085,"score_gpt":0.213086014450551,"score_spread":0.2047475145506969,"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."}}