{"id":"W2044471181","doi":"10.1115/creep2007-26797","title":"The ECCC Approach to Creep Data Assessment","year":2007,"lang":"en","type":"article","venue":"","topic":"High Temperature Alloys and Creep","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Environment and Climate Change Canada","keywords":"Rigour; Creep; Computer science; Property (philosophy); Data quality; Relaxation (psychology); Ductility (Earth science); Quality (philosophy); Exploit; Reliability engineering; Data mining; Operations research; Engineering; Mathematics; Computer security; Operations management; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000485366,0.00008644193,0.0000683573,0.0000208696,0.00009452941,0.00008856164,0.0005184804,0.00004014335,0.00003065501],"category_scores_gemma":[0.000007964976,0.00005257425,0.00001585447,0.000135396,0.000009722597,0.00007437675,0.0001090878,0.0001309526,0.00006059048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002446123,"about_ca_system_score_gemma":0.000007860181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001353489,"about_ca_topic_score_gemma":0.0001118169,"domain_scores_codex":[0.9993253,0.000006020417,0.0001238261,0.0001442387,0.0001511883,0.0002493931],"domain_scores_gemma":[0.9991035,0.0000507493,0.000004795741,0.0007337872,0.00001459439,0.00009259283],"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":[0.00001465127,0.0001215644,0.0007538946,0.00004282286,0.0002240301,0.0000145927,0.0003599698,0.009299259,0.005803766,0.2722369,0.5950539,0.1160748],"study_design_scores_gemma":[0.0001088887,0.00001658286,0.005476953,0.000003054114,0.000008265126,0.000004807089,0.0002740554,0.03310432,0.0004077581,0.00006522293,0.9603556,0.0001744707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002356123,0.0001493083,0.3351746,0.0002019218,0.0002160387,0.0001349417,0.000004061181,0.0002257021,0.6615372],"genre_scores_gemma":[0.9625669,0.00002300642,0.03459066,0.0002709806,0.0002191504,0.000007478613,0.00003671094,0.0000231543,0.002261943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9602108,"threshold_uncertainty_score":0.2143916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018364012327141,"score_gpt":0.2682347481551601,"score_spread":0.2498707358280191,"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."}}