{"id":"W2074296298","doi":"10.1115/ipc2012-90372","title":"CEPA Development of a Metal Loss ILI Acceptance Procedure","year":2012,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Desjardins","funders":"","keywords":"Computer science; Vendor; Pipeline (software); Process (computing); Reliability engineering; Acceptance testing; Formal verification; Software engineering; Engineering; Operating system; Algorithm","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":[0.0001563034,0.0001086778,0.0001263766,0.00004527224,0.00001827933,0.000004183811,0.0001230565,0.0000432828,0.0001201421],"category_scores_gemma":[0.00004090795,0.00009791529,0.00002332849,0.0001306328,0.00002799983,0.0001789438,0.00003818025,0.00007456575,0.00002127472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005856199,"about_ca_system_score_gemma":0.00002200337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001886453,"about_ca_topic_score_gemma":0.000003567047,"domain_scores_codex":[0.9994272,0.000006717491,0.0001687052,0.00007631628,0.0001074209,0.0002136615],"domain_scores_gemma":[0.9997339,0.00002531669,0.00002268194,0.0001328778,0.00003545403,0.00004978404],"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":[0.00001797529,0.0001927019,0.2043839,0.001386884,0.0002460424,0.000003461085,0.003600898,0.00002170748,0.7075354,0.07033984,0.001693884,0.01057732],"study_design_scores_gemma":[0.0001158899,0.00001348345,0.07748453,0.00006598007,0.00001213256,0.0000233638,0.0000668859,0.00005558857,0.9150241,0.006274122,0.0005645546,0.0002993739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9231595,0.0001385082,0.02605654,0.000003572513,0.00008596562,0.0001554919,0.000001267888,0.0009602817,0.04943886],"genre_scores_gemma":[0.5450541,0.000001006353,0.4548758,0.000002900645,0.00001531678,0.00001674246,8.878144e-7,0.0000134893,0.00001977726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4288192,"threshold_uncertainty_score":0.399287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915675128482253,"score_gpt":0.2514414746267412,"score_spread":0.2322847233419187,"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."}}