{"id":"W2116526472","doi":"10.1002/srin.201200273","title":"Advanced Methods for Assessing the Melt‐<scp>S</scp>pecific Creep Rupture Behavior of P91 Steel for Power Plants","year":2013,"lang":"en","type":"article","venue":"steel research international","topic":"Iron and Steelmaking Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Environment and Climate Change Canada","keywords":"Creep; Context (archaeology); Work (physics); Artificial neural network; Materials science; Power (physics); Range (aeronautics); Computer science; Mechanical engineering; Composite material; Engineering; Machine learning; Thermodynamics; Physics","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":[0.001334428,0.0001809237,0.0002242339,0.0002506885,0.0002002852,0.000255705,0.0007744557,0.0001304633,0.0001331672],"category_scores_gemma":[0.001333981,0.0001381903,0.000133741,0.0001684798,0.0001303977,0.0004135989,0.00009824513,0.000379835,0.00001677998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001158867,"about_ca_system_score_gemma":0.00008473489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001108392,"about_ca_topic_score_gemma":0.000008626953,"domain_scores_codex":[0.9980817,0.0001013906,0.0003690369,0.0002735093,0.0006397818,0.0005346122],"domain_scores_gemma":[0.9956477,0.002951108,0.00007881781,0.0002824602,0.0009499076,0.00009001791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001224024,0.0005354591,0.001808102,0.00111227,0.0006535162,0.000008575843,0.00492136,0.003881662,0.4261851,0.07328799,0.09448358,0.3929999],"study_design_scores_gemma":[0.001425785,0.0001843888,0.01990615,0.000184203,0.00002096566,0.00001393496,0.005108494,0.02919805,0.07007682,0.002020565,0.8716773,0.0001832955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5900156,0.004346522,0.262594,0.001289677,0.00633665,0.007590075,0.0007952683,0.0005056452,0.1265266],"genre_scores_gemma":[0.9212216,0.00008431961,0.05976872,0.00006072067,0.0002940882,0.002065544,0.00007878189,0.00008904011,0.01633717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7771938,"threshold_uncertainty_score":0.5635237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08090208443791845,"score_gpt":0.4472987507956202,"score_spread":0.3663966663577017,"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."}}