{"id":"W2463505083","doi":"10.5006/mp2008_47_4-50","title":"A Well Casing Corrosion Database","year":2008,"lang":"en","type":"article","venue":"Materials performance","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Casing; Corrosion; Petroleum engineering; Metallurgy; Oil well; Engineering; Oil production; Forensic engineering; Materials science","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":[0.0006039099,0.001646517,0.001076796,0.01189405,0.001171259,0.002052358,0.0023452,0.001136295,0.02501408],"category_scores_gemma":[0.003943616,0.000545082,0.0006528022,0.01210766,0.000226456,0.001604104,0.001006827,0.0007617478,0.02002889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002755983,"about_ca_system_score_gemma":0.007117529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3010783,"about_ca_topic_score_gemma":0.3650329,"domain_scores_codex":[0.9988326,0.00004320503,0.0001495234,0.0001375059,0.0007318693,0.0001051741],"domain_scores_gemma":[0.9932326,0.0003498004,0.0004292065,0.0005381695,0.005102272,0.0003479321],"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":[0.000272714,0.0001684664,0.01806449,0.001406349,0.00008342029,0.0003920773,0.0001483798,0.005712169,0.00283869,0.002812859,0.8488232,0.1192771],"study_design_scores_gemma":[0.00006384726,0.00004006414,0.0295462,0.0003089716,0.0001172659,0.0003182266,0.0001507017,0.009814865,0.004074177,0.001269256,0.9541929,0.0001035198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007560065,0.001092257,0.004425003,0.0001609322,0.00003754538,0.0001920094,0.9611362,0.006871969,0.01852399],"genre_scores_gemma":[0.0141597,0.00120407,0.00733255,0.00005793232,0.00001862522,0.0001171758,0.9703469,0.0004644998,0.006298454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3010783,"threshold_uncertainty_score":0.5986516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522457668635015,"score_gpt":0.206433448251313,"score_spread":0.1912088715649628,"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."}}