{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008363767,0.0002911046,0.0002622403,0.002456668,0.0004329135,0.0006799463,0.0004843352,0.0005904084,0.004013532],"category_scores_gemma":[0.009353155,0.0002838127,0.0002367537,0.0008650763,0.0007314598,0.001378882,0.0006634498,0.0003984409,0.00113106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000487522,"about_ca_system_score_gemma":0.0006505892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002843582,"about_ca_topic_score_gemma":0.005909189,"domain_scores_codex":[0.9964991,0.0003761989,0.0001491751,0.0003086254,0.00244934,0.0002175541],"domain_scores_gemma":[0.9903335,0.002901457,0.002233411,0.001463473,0.00287409,0.0001940756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005772131,0.0004118952,0.3878113,0.00047692,0.00006789952,0.001915835,0.002316044,0.01063426,0.1936273,0.006476701,0.007701022,0.3879835],"study_design_scores_gemma":[0.00004152336,0.0009330339,0.3091595,0.0001688731,0.00008054758,0.004908233,0.002174373,0.06640138,0.5797433,0.004096874,0.03215916,0.0001331195],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.885142,0.0004315962,0.08457348,0.0005168309,0.00007403822,0.0002701123,0.0005760106,0.0007805463,0.02763535],"genre_scores_gemma":[0.9649728,0.0002762143,0.02567707,0.00004911101,0.000009382651,0.00004216936,0.0004661621,0.00004128599,0.008465682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004013532,"threshold_uncertainty_score":0.0134266,"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."}}