{"id":"W4236245066","doi":"10.2172/803734","title":"DETECTION OF UNAUTHORIZED CONSTRUCTION EQUIPMENT IN PIPELINE RIGHT-OF-WAYS","year":2002,"lang":"en","type":"report","venue":"","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Energy","keywords":"Hazardous waste; Pipeline (software); Pipeline transport; Quarter (Canadian coin); Computer security; Engineering; Warning system; Electronics; Key (lock); Computer science; Forensic engineering; Electrical engineering; Telecommunications; Mechanical engineering; Waste management; Geography","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":[0.0007830933,0.000249004,0.0006069309,0.0005564301,0.00001743099,0.000004173664,0.00006901864,0.0003501405,0.0003321742],"category_scores_gemma":[0.0001450316,0.0002416051,0.0001451256,0.0004178408,0.00004268307,0.0000743225,0.00001531733,0.0003479958,0.000004462615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003909797,"about_ca_system_score_gemma":0.00005402058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006426974,"about_ca_topic_score_gemma":0.00008176817,"domain_scores_codex":[0.9980182,0.00004294694,0.0009523042,0.0002120448,0.0005863843,0.0001881135],"domain_scores_gemma":[0.999102,0.00005474534,0.0002639657,0.0002419636,0.0002908257,0.00004648821],"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":[0.00007428714,0.00008169372,0.0001836306,0.001799906,0.0001909898,0.000006596467,0.00006989881,0.01472689,0.3379161,0.0001317414,0.0004522932,0.644366],"study_design_scores_gemma":[0.000985043,0.00009902405,0.0001420296,0.0003608845,0.0001392953,0.00002743742,0.00003884082,0.009216802,0.9319447,0.0008684614,0.05574128,0.0004361892],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001435498,0.002128583,0.8621728,0.000001545315,0.003754232,0.0003457936,0.000008629597,0.0002148285,0.1299381],"genre_scores_gemma":[0.7114994,0.01263038,0.2689863,0.000003794454,0.0009774369,0.0001343972,0.00004925779,0.0002222159,0.005496769],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7100639,"threshold_uncertainty_score":0.9852368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06626578941941655,"score_gpt":0.2985054170920641,"score_spread":0.2322396276726476,"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."}}