{"id":"W2065612362","doi":"10.1115/ipc2002-27103","title":"Natural Hazard Database Application: A Tool for Pipeline Decision Makers","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Hazard; Work (physics); Database; Computer science; Hazard analysis; Construction engineering; Engineering; Reliability engineering","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":[0.006871459,0.001792805,0.001437914,0.004988339,0.0009510376,0.004627493,0.005044885,0.002061996,0.04164683],"category_scores_gemma":[0.01652089,0.001605695,0.001069804,0.003843323,0.0006041558,0.007057841,0.0053566,0.002460403,0.01680719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071233,"about_ca_system_score_gemma":0.002059268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00363293,"about_ca_topic_score_gemma":0.003488236,"domain_scores_codex":[0.998112,0.0004322352,0.0003591387,0.0002741405,0.000710225,0.0001123958],"domain_scores_gemma":[0.9913014,0.005272544,0.0004161892,0.001161977,0.001157699,0.000690242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001021415,0.0006388723,0.005095602,0.00219225,0.0002705807,0.001750489,0.001354484,0.01289719,0.00806208,0.02504483,0.5345562,0.407116],"study_design_scores_gemma":[0.0009161667,0.0002664687,0.004452415,0.0008787093,0.0001364451,0.001415338,0.001182227,0.1221442,0.01196101,0.04995707,0.8063287,0.000361179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.008916008,0.0008565084,0.5340874,0.002750181,0.0003008893,0.002202227,0.06032512,0.3624167,0.02814494],"genre_scores_gemma":[0.09168318,0.002116586,0.7524783,0.001949059,0.0002166163,0.004047579,0.1037049,0.02259265,0.02121109],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04164683,"threshold_uncertainty_score":0.1393226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671016689432572,"score_gpt":0.242414797654694,"score_spread":0.2257046307603683,"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."}}