{"id":"W3123205542","doi":"10.1115/ipc2020-9687","title":"Austenite Grain Size Model for the Coarse Grain Heat Affected Zone in Line Pipe Steels","year":2020,"lang":"en","type":"article","venue":"Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science; Welding; Metallurgy; Heat-affected zone; Austenite; Gas metal arc welding; Grain growth; Gas tungsten arc welding; Grain size; Submerged arc welding; Arc welding; Microstructure","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001023345,0.000364666,0.0002284668,0.0004041429,0.0001455565,0.0002157088,0.0005010883,0.0006238853,0.001152832],"category_scores_gemma":[0.0002170362,0.0001970792,0.0003603937,0.0002151633,0.0002286638,0.0001893119,0.0001375337,0.0001763635,0.0002070787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007843497,"about_ca_system_score_gemma":0.0002369504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01259387,"about_ca_topic_score_gemma":0.01085357,"domain_scores_codex":[0.9999412,0.000005721873,0.000002797435,0.00002022113,0.0000194176,0.00001070489],"domain_scores_gemma":[0.9998944,0.00003607183,0.00002770866,0.00001301137,0.00002248647,0.000006299055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007112956,0.00004093885,0.004864289,0.0000442932,0.000009103966,0.0001305322,0.0000524114,0.8938228,0.09746835,0.0005576645,0.000147399,0.002791042],"study_design_scores_gemma":[0.000003255924,0.0000285267,0.003056681,0.000001267451,0.000001852772,0.00001187239,0.000006898301,0.9918188,0.0048425,0.0000763489,0.0001486178,0.00000350261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949622,0.0001849017,0.04489671,0.00003421652,0.000008196349,0.00004856247,0.0005552796,0.0004083932,0.004241706],"genre_scores_gemma":[0.997175,0.00003341959,0.002037779,0.000003048911,7.935346e-7,0.0000149142,0.0001290657,0.00001464372,0.0005914122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01259387,"threshold_uncertainty_score":0.0250411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985490958518061,"score_gpt":0.2243532060529546,"score_spread":0.204498296467774,"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."}}