{"id":"W2712354857","doi":"10.1080/02670836.2017.1342019","title":"Temper-treatment development to decompose detrimental martensite–austenite and its effect on linepipe welds","year":2017,"lang":"en","type":"article","venue":"Materials Science and Technology","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Tempering; Martensite; Austenite; Metallurgy; Ferrite (magnet); Welding; Base metal; Void (composites); Ductility (Earth science); Heat treating; Composite material; Microstructure; Creep","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002032715,0.000160937,0.0002189701,0.0001982221,0.0004547406,0.0001783663,0.0002459555,0.0001033576,0.00001800486],"category_scores_gemma":[0.00006160811,0.0001131529,0.00000696898,0.00008374696,0.0001540081,0.0001156036,0.0002316065,0.00004571311,0.00007267018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006747455,"about_ca_system_score_gemma":0.0000194346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007477845,"about_ca_topic_score_gemma":0.000005984236,"domain_scores_codex":[0.9991729,0.000005348957,0.0001397138,0.0002842634,0.0001037007,0.0002940871],"domain_scores_gemma":[0.9995648,0.00001020574,0.00002622108,0.0002614853,0.00003969156,0.00009761695],"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":[0.00001883705,0.000006133243,0.00006571362,0.00001753288,0.000007128488,0.00001168581,0.00003867342,0.00000129328,0.9653897,0.0001204913,0.00001888907,0.03430398],"study_design_scores_gemma":[0.0003086996,0.0005715014,0.0007103714,0.00003569189,0.000006602032,0.00005060645,0.00001349348,0.00002664938,0.9940135,0.00003636623,0.004086293,0.000140163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998448,0.000149433,0.000005800461,0.0003320945,0.0003955153,0.000305149,0.000006921668,0.0001262777,0.0002307949],"genre_scores_gemma":[0.9992461,0.00004351282,0.0005006626,0.00007511629,0.00002688616,0.00002933562,0.000001051222,0.00001052022,0.00006681919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03416381,"threshold_uncertainty_score":0.4614242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009756993161794628,"score_gpt":0.2338573659033477,"score_spread":0.2241003727415531,"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."}}