{"id":"W2625270049","doi":"10.1098/rsta.2016.0407","title":"Alloy and composition dependence of hydrogen embrittlement susceptibility in high-strength steel fasteners","year":2017,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fastener; Materials science; Hydrogen embrittlement; Metallurgy; Brittleness; Ultimate tensile strength; Embrittlement; Tempering; Microstructure; Hydrogen; Corrosion; Chemistry","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":[0.000503686,0.0001285494,0.0002976253,0.00001669381,0.0003022432,0.00004969992,0.0004032193,0.00005125231,0.00003215615],"category_scores_gemma":[0.0000390834,0.00008755192,0.0001420891,0.00008487751,0.001043811,0.0001577348,0.00008418209,0.0001411097,0.000001039375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001396893,"about_ca_system_score_gemma":0.00001353366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003717688,"about_ca_topic_score_gemma":0.000001921164,"domain_scores_codex":[0.9988156,0.00003501379,0.0002989209,0.0002590719,0.0004031488,0.0001882763],"domain_scores_gemma":[0.9994047,0.000141669,0.0001082247,0.0002487205,0.00002441332,0.00007222747],"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":[0.00001420446,0.0006782907,0.0009469527,0.000336352,0.00001657567,4.823964e-7,0.0004990196,0.01343593,0.9552824,0.02819791,0.000001049358,0.0005907638],"study_design_scores_gemma":[0.000954207,0.0003260236,0.01418424,0.0005291134,0.0001865684,0.000005133918,0.0002174101,0.3393634,0.5403805,0.1034253,0.000002294065,0.0004258907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966509,0.00002342013,0.002339961,0.0006979582,0.00005218536,0.0001606443,0.00002089712,0.00001344666,0.00004059266],"genre_scores_gemma":[0.9967286,0.00001032155,0.003199568,0.000007782123,0.0000225836,0.00001849171,2.978574e-7,0.000004901371,0.000007470418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.414902,"threshold_uncertainty_score":0.3845963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121089836333497,"score_gpt":0.2597137622420018,"score_spread":0.2385028638786668,"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."}}