{"id":"W1509519054","doi":"10.2172/807158","title":"DETECTION OF UNAUTHORIZED CONSTRUCTION EQUIPMENT IN PIPELINE RIGHT-OF-WAYS","year":2002,"lang":"en","type":"report","venue":"","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hazardous waste; Pipeline transport; Pipeline (software); Electronics; Engineering; Warning system; Key (lock); Quarter (Canadian coin); Computer security; Computer science; Forensic engineering; Construction engineering; Electrical engineering; Telecommunications; Mechanical 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002031602,0.0002565186,0.0006226912,0.0004304507,0.000009738804,0.000003057832,0.00007936941,0.0003908039,0.000291201],"category_scores_gemma":[0.00009063568,0.0002557943,0.0001120699,0.0003226372,0.00005656561,0.0000565905,0.00002009871,0.000340486,0.00000999456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004627162,"about_ca_system_score_gemma":0.00004554192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001098762,"about_ca_topic_score_gemma":0.00007234796,"domain_scores_codex":[0.9981785,0.00001376617,0.0009358121,0.0002191396,0.0004460044,0.0002068224],"domain_scores_gemma":[0.99917,0.00006629394,0.0002349511,0.0002962216,0.0001893169,0.00004321769],"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":[0.000123328,0.0002607956,0.0004147588,0.005583219,0.0008267011,0.0001002406,0.0005648382,0.1852183,0.2061276,0.001153163,0.00181076,0.5978163],"study_design_scores_gemma":[0.002760972,0.0002138257,0.0004695046,0.001437481,0.0004292825,0.0002916021,0.0002249957,0.09799898,0.8151405,0.001454628,0.07800053,0.001577711],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03448711,0.003926608,0.516245,0.000008872815,0.007908077,0.001180329,0.00005783739,0.0006890358,0.4354971],"genre_scores_gemma":[0.9061997,0.006675032,0.08205725,0.000002159932,0.0004289867,0.00005109212,0.00006947764,0.0002095125,0.004306797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8717126,"threshold_uncertainty_score":0.9999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02768424713972096,"score_gpt":0.2525053500732087,"score_spread":0.2248211029334877,"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."}}