{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000127885,0.00008292843,0.0001678859,0.00004707631,0.000004807435,0.000004337224,0.00005744018,0.00005428363,0.0001701881],"category_scores_gemma":[0.00000882792,0.00007249491,0.000005940022,0.000106691,0.00001710238,0.00002147992,0.000008520907,0.000141678,0.000001215649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004921859,"about_ca_system_score_gemma":0.00001273395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.463186,"about_ca_topic_score_gemma":0.8121353,"domain_scores_codex":[0.9996088,0.000002171964,0.0001502401,0.00005778237,0.00005642816,0.0001246175],"domain_scores_gemma":[0.9998581,0.00002456882,0.000005725133,0.00008514477,0.000003848947,0.00002262806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008260716,0.00003335268,0.75485,0.0001428754,0.00003135032,0.000009721072,0.0002433506,0.09645521,0.0008013101,0.000506057,0.0157805,0.131138],"study_design_scores_gemma":[0.0008652189,0.00007126274,0.7345408,0.0001752629,0.00001901303,0.000006944008,0.001117995,0.1417851,0.112352,0.0002168709,0.008220112,0.0006294626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990708,0.0001599644,0.00004795706,0.00003429651,0.0000513856,0.00003239973,0.000008117128,0.0001245872,0.0004704854],"genre_scores_gemma":[0.9994079,0.00003807202,0.0001160097,0.000002034736,0.000005074753,0.000002389523,0.000002878609,0.000006707427,0.000418868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3489494,"threshold_uncertainty_score":0.5403887,"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."}}