{"id":"W1488364704","doi":"10.5006/c2006-06122","title":"Weight Loss Corrosion with H2S: Using past Operations for Designing Future Facilities","year":2006,"lang":"en","type":"article","venue":"","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Corrosion; Computer science; Engineering; Environmental science; Reliability engineering; Forensic engineering; Metallurgy; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002927264,0.00009240796,0.00009753902,0.00004485397,0.0003317827,0.0002256736,0.0001317195,0.00003932362,0.0002244944],"category_scores_gemma":[0.000009579041,0.00006044199,0.00001843115,0.0001134456,0.00007811896,0.0002846129,0.00002754526,0.00003221112,0.0000179439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004484071,"about_ca_system_score_gemma":0.00005665436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005341255,"about_ca_topic_score_gemma":0.0001325512,"domain_scores_codex":[0.9991297,0.00002027193,0.0001192916,0.0001984802,0.0002090291,0.0003232614],"domain_scores_gemma":[0.9996905,0.00002956511,0.00001341991,0.0001171549,0.00009574722,0.00005356662],"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":[0.00001497364,0.0000117787,0.0001304411,0.00002644024,3.908177e-7,0.000001345606,0.00008801843,0.0195997,0.9771917,0.002582822,0.0003121,0.00004023754],"study_design_scores_gemma":[0.0003466658,0.0001270917,0.0001727871,0.00004508912,0.000005894719,0.00001962456,0.0006250777,0.01747606,0.9745064,0.0001435462,0.006300718,0.0002310116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5775401,0.00002278772,0.4215056,0.0001269795,0.0002457364,0.0001672579,0.00002448154,0.00008213073,0.00028495],"genre_scores_gemma":[0.9154333,0.000003872991,0.0817026,0.00001262888,0.0004814057,0.00003649654,0.000009814366,0.00001024355,0.002309608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.339803,"threshold_uncertainty_score":0.2551838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01980323492969087,"score_gpt":0.2617853588167214,"score_spread":0.2419821238870305,"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."}}