{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001678929,0.0001601425,0.0001744675,0.0001042951,0.00002670441,0.00003441348,0.0002137742,0.000119388,0.0000370216],"category_scores_gemma":[0.000065542,0.00008741547,0.00007034976,0.0001037949,0.00006587415,0.0002812411,0.00002116325,0.000141273,0.00002777579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005424235,"about_ca_system_score_gemma":0.000009993218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004033592,"about_ca_topic_score_gemma":0.0001412453,"domain_scores_codex":[0.9991522,0.00002202284,0.0002855549,0.0001474118,0.0001569267,0.0002358632],"domain_scores_gemma":[0.9994935,0.000113246,0.00003392408,0.0002965798,0.00002767917,0.00003501299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002759081,0.0002797924,0.002406896,0.001012336,0.0001701766,0.00004122034,0.00323488,0.2134871,0.374228,0.01217718,0.09806298,0.2946235],"study_design_scores_gemma":[0.01394185,0.001639847,0.129411,0.008063647,0.0003493018,0.0006936154,0.005825892,0.2075302,0.0935403,0.07414638,0.4591983,0.005659674],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.793691,0.005351174,0.1826537,0.004909838,0.0040615,0.0007399441,0.00003884696,0.001442413,0.007111624],"genre_scores_gemma":[0.9982165,0.0006652488,0.0001886125,0.00003501603,0.0002278145,0.00001594341,0.000002517334,0.00002617672,0.0006221948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3611353,"threshold_uncertainty_score":0.35647,"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."}}