{"id":"W4243896827","doi":"10.2172/794171","title":"DETECTION OF UNAUTHORIZED CONSTRUCTION EQUIPMENT IN PIPELINE RIGHT-OF-WAYS","year":2002,"lang":"en","type":"report","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hazardous waste; Pipeline (software); Pipeline transport; Warning system; Accidental; Computer security; Forensic engineering; Construction engineering; Computer science; Quarter (Canadian coin); Engineering; Mining engineering; Telecommunications; Waste management; Mechanical engineering; History","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003712931,0.0002477514,0.0007913581,0.0005072469,0.000017975,0.000006992484,0.0001154638,0.0006236163,0.001018969],"category_scores_gemma":[0.0001324187,0.0002029319,0.0003095639,0.0005086781,0.0001070689,0.00005811999,0.00002359282,0.0005521086,0.000006258781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003969631,"about_ca_system_score_gemma":0.00005275087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002007798,"about_ca_topic_score_gemma":0.0007959189,"domain_scores_codex":[0.9980085,0.00003133996,0.001068317,0.0002270367,0.000490252,0.0001745525],"domain_scores_gemma":[0.9990782,0.00007115127,0.0002121325,0.000287474,0.0003083597,0.00004271119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001940391,0.0004016729,0.001785019,0.01644842,0.003877325,0.00005108712,0.0008941602,0.1023739,0.1644778,0.002085204,0.004480118,0.7029313],"study_design_scores_gemma":[0.001564147,0.0002201692,0.001703758,0.001582516,0.001699018,0.0001430301,0.0003683414,0.1706115,0.7701815,0.005193067,0.04521049,0.001522503],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2675166,0.01565615,0.1386797,0.0001056055,0.0170931,0.001940924,0.0002578467,0.0009933343,0.5577568],"genre_scores_gemma":[0.9912617,0.004930035,0.002495718,0.000001196756,0.0001640691,0.00001208249,0.00004642616,0.00002769279,0.00106105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7237451,"threshold_uncertainty_score":0.9998943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02834776298041868,"score_gpt":0.2527711106108285,"score_spread":0.2244233476304098,"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."}}