{"id":"W2533582911","doi":"10.1115/ipc2000-106","title":"Same Yet Different: A Comparison of Pipeline Industries in Canada and Australia","year":2000,"lang":"en","type":"article","venue":"","topic":"Offshore Engineering and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline transport; Pipeline (software); Terrain; Variety (cybernetics); Population; Engineering; Computer science; Business; Geography; Sociology; Mechanical 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":[0.0008164789,0.0002927886,0.0003556437,0.007296817,0.006980398,0.003944564,0.0009570085,0.0006207855,0.003262504],"category_scores_gemma":[0.003562537,0.0002863262,0.0004670862,0.01346318,0.0014929,0.001238263,0.00227987,0.0008792531,0.0002850871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05725176,"about_ca_system_score_gemma":0.06121816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928174,"about_ca_topic_score_gemma":0.9978426,"domain_scores_codex":[0.9966224,0.0001558884,0.0001026991,0.0001852488,0.001596014,0.001337706],"domain_scores_gemma":[0.995417,0.0002752547,0.0004947214,0.00006602283,0.002615463,0.00113161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004825165,0.0002860062,0.7440164,0.0007492765,0.000240313,0.003526097,0.07421982,0.001578041,0.003290802,0.02697101,0.01949667,0.125143],"study_design_scores_gemma":[0.000006164667,0.00004150993,0.9341306,0.0001258298,0.00003660257,0.0002878194,0.04071365,0.0004637351,0.0002303937,0.0002470811,0.02367738,0.00003918428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932611,0.00267492,0.0003019458,0.002015528,0.00004545932,0.00008262711,0.00163925,0.00003314119,0.06059603],"genre_scores_gemma":[0.9871113,0.002254939,0.0005154668,0.0003866587,0.000009703399,0.00002325264,0.0009549392,0.00001964302,0.008724157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05725176,"threshold_uncertainty_score":0.4153926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837987379642898,"score_gpt":0.2177100993585052,"score_spread":0.1993302255620763,"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."}}