{"id":"W204089527","doi":"","title":"RISK AND IMPACT ASSESSMENT OF NATURAL GAS PIPELINES IN RURAL HIGHWAY RIGHTS OF WAY","year":2001,"lang":"en","type":"article","venue":"","topic":"Transportation Systems and Infrastructure","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline transport; Pipeline (software); Engineering; Ditch; Economic impact analysis; Transport engineering; Natural gas; Unit (ring theory); Civil engineering; Risk analysis (engineering); Forensic engineering; Business; Environmental engineering; Waste management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001443472,0.000110709,0.0002311281,0.0001911282,0.00003067161,0.00003082376,0.00006984362,0.00004264308,0.0003353125],"category_scores_gemma":[0.000007217921,0.00006934904,0.00005790051,0.0002697468,0.00003190969,0.0005618268,0.00001252286,0.00007926855,0.000001897803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000863718,"about_ca_system_score_gemma":0.000007879108,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009294192,"about_ca_topic_score_gemma":0.002015061,"domain_scores_codex":[0.9992389,0.0000065094,0.0003717996,0.0001032145,0.000160031,0.0001195634],"domain_scores_gemma":[0.9994966,0.00001779428,0.0002502901,0.00009745534,0.000130532,0.000007313933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002395947,0.0000236565,0.9893141,0.00006430352,0.00001620595,0.000002368651,0.00004263148,0.0001295532,0.001183192,0.006659413,0.0004241715,0.002116484],"study_design_scores_gemma":[0.0006554125,0.000008914605,0.9926291,0.00004324808,0.00001628739,0.000001291173,0.0001770909,0.003345578,0.0001017665,0.001245204,0.001686643,0.00008948847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937324,0.00007360573,0.0002110452,0.00005110984,0.0001676439,0.00012219,0.000004755887,0.00002035961,0.005616907],"genre_scores_gemma":[0.9993439,0.00001662232,0.00029568,0.00003254555,0.0001474111,0.000001847743,0.00002106918,0.000006128475,0.0001348061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007279131,"threshold_uncertainty_score":0.997303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005485098186706052,"score_gpt":0.2432521719872017,"score_spread":0.2377670738004957,"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."}}