{"id":"W4387318401","doi":"10.2139/ssrn.4591685","title":"Study of Temperature Effect on Hydrogen Embrittlement in X70 Pipeline Steel","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Hydrogen embrittlement; Embrittlement; Pipeline (software); Materials science; Metallurgy; Hydrogen; Chemistry; Engineering; Mechanical engineering; Corrosion","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":[0.0001856276,0.000192579,0.0003165136,0.0001878424,0.0002597695,0.0002216834,0.0003030884,0.0002724347,0.001982279],"category_scores_gemma":[0.0004045086,0.0001693707,0.0002784485,0.0003006238,0.0002815521,0.0003034654,0.0001247642,0.0003504002,0.0002774897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003084116,"about_ca_system_score_gemma":0.0001371641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003210355,"about_ca_topic_score_gemma":0.002098169,"domain_scores_codex":[0.9998339,0.00002042104,0.000006302803,0.00003431626,0.00006111751,0.00004387342],"domain_scores_gemma":[0.99968,0.0001102637,0.00004370019,0.00003238847,0.0001152133,0.00001829917],"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":[0.001011186,0.00004991259,0.002019652,0.0001733635,0.00002929971,0.0003022743,0.0001850337,0.002328319,0.9901932,0.0001721583,0.0001983207,0.003337312],"study_design_scores_gemma":[0.00001349356,0.0009292897,0.02423131,0.00000680296,0.00002634694,0.0001214435,0.0001821179,0.006992023,0.9663616,0.0000374949,0.00107958,0.00001851103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978424,0.0004287344,0.0004223436,0.00002364002,0.000008564492,0.000006517871,0.0001325087,0.00002028864,0.001114883],"genre_scores_gemma":[0.9987271,0.0001569626,0.0001398885,0.000005297548,0.000005096765,0.000002462919,0.00008934602,0.00001116134,0.0008626804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003210355,"threshold_uncertainty_score":0.006631374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070108479196439,"score_gpt":0.301538072332218,"score_spread":0.2808369875402536,"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."}}