{"id":"W263738382","doi":"10.5006/c2008-08027","title":"Insights into Atlas Cell Testing for Selection of Linings for Oil and Gas Production Vessels and Tanks","year":2008,"lang":"en","type":"article","venue":"","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Atlas (anatomy); Selection (genetic algorithm); Petroleum engineering; Production (economics); Oil production; Environmental science; Forensic engineering; Marine engineering; Engineering; Computer science; Geology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002364888,0.0003614968,0.0005608019,0.0008346889,0.0006827404,0.0008982012,0.001160554,0.0005947038,0.001472278],"category_scores_gemma":[0.003030052,0.0002790584,0.0002510419,0.000421117,0.0008239606,0.0008210983,0.0006930801,0.0005305128,0.0004388033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00063098,"about_ca_system_score_gemma":0.0007289273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002200821,"about_ca_topic_score_gemma":0.007167079,"domain_scores_codex":[0.9974872,0.0005490769,0.0001249497,0.000148761,0.001524345,0.0001656364],"domain_scores_gemma":[0.9966798,0.001325386,0.0003997247,0.0002970455,0.001173721,0.0001243483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00036178,0.00009412328,0.02372686,0.0001973672,0.00001219971,0.0007042604,0.001165779,0.004552507,0.9483348,0.0009523714,0.0006715346,0.01922647],"study_design_scores_gemma":[0.00002094466,0.001262501,0.03196812,0.00002774008,0.00003510383,0.001226479,0.00168783,0.01071455,0.9456348,0.0004487724,0.006909331,0.00006393531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808927,0.0003598373,0.0150593,0.0001566508,0.00003230454,0.00007269769,0.0001979599,0.0002731737,0.002955494],"genre_scores_gemma":[0.9875051,0.00016611,0.01117403,0.00005085931,0.000006974742,0.00001734179,0.0001204457,0.0000379317,0.0009211438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002364888,"threshold_uncertainty_score":0.0125069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009842228506006696,"score_gpt":0.1959201111831814,"score_spread":0.1860778826771747,"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."}}