{"id":"W4312358431","doi":"10.1115/ipc2022-87793","title":"X80 Heavy Gauge and Large Diameter Helical Line Pipe for Low Temperature Applications","year":2022,"lang":"en","type":"article","venue":"Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"EVRAZ (Canada)","funders":"","keywords":"Materials science; Ultimate tensile strength; Toughness; Metallurgy; Microstructure; Martensite; Optical microscope; Charpy impact test; Austenite; Composite material","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001023185,0.0002385071,0.0003949913,0.00008693818,0.001700083,0.0006010617,0.0001396912,0.00008360526,0.0004503029],"category_scores_gemma":[0.00005610737,0.0002197887,0.00004367708,0.0001033416,0.00009948891,0.0002789778,0.0002995279,0.0001303282,0.000007767365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003235591,"about_ca_system_score_gemma":0.00004072545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004952471,"about_ca_topic_score_gemma":0.000008640407,"domain_scores_codex":[0.998126,0.000127123,0.0005075886,0.0005743715,0.0002206211,0.0004443249],"domain_scores_gemma":[0.9993507,0.00004617565,0.000105622,0.000244637,0.0001055885,0.0001472992],"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":[0.0000601139,0.00008793443,0.001191579,0.00007669124,0.000006259687,0.000002660249,0.0003983348,0.00001139674,0.994956,0.001089822,0.0006847421,0.001434425],"study_design_scores_gemma":[0.002543116,0.0006632672,0.001722045,0.0001699901,0.0001444019,0.0001037769,0.002204608,0.0005097842,0.8454011,0.0004029675,0.1452267,0.0009082044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929304,0.001193689,0.00260592,0.0003576965,0.001115526,0.0008585624,0.000850086,0.00007591035,0.000012232],"genre_scores_gemma":[0.9876013,0.0006285721,0.006989643,0.000274335,0.0007134717,0.002050072,0.0001375352,0.00003945846,0.001565593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.149555,"threshold_uncertainty_score":0.9995996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341293040113409,"score_gpt":0.263857003764163,"score_spread":0.2504440733630289,"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."}}