{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003034622,0.0001559812,0.0001788504,0.0006748941,0.0001625396,0.0003734861,0.0002748184,0.0003538858,0.001738935],"category_scores_gemma":[0.001262435,0.0002266495,0.000157511,0.0004472355,0.0002449973,0.000319728,0.0001847032,0.000287206,0.0006637144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003215257,"about_ca_system_score_gemma":0.0001824395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002956891,"about_ca_topic_score_gemma":0.00388308,"domain_scores_codex":[0.999738,0.0000193559,0.00001784824,0.00006481774,0.0001314784,0.00002841942],"domain_scores_gemma":[0.9988696,0.0002335147,0.0002785383,0.00005548115,0.0005036553,0.00005916502],"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":[0.0006531418,0.00005151021,0.02453999,0.0002805166,0.00007486847,0.0002760896,0.0002665347,0.003458606,0.9615229,0.0006049835,0.0006134851,0.007657328],"study_design_scores_gemma":[0.00001325071,0.0006499658,0.1624627,0.00002837418,0.00008040897,0.0004161892,0.0002220724,0.01828144,0.8133952,0.000366724,0.004030322,0.00005342903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929922,0.001857234,0.0019499,0.00006085357,0.00002605358,0.00001598078,0.0006166103,0.0001283773,0.002352927],"genre_scores_gemma":[0.9977207,0.0003582292,0.000375619,0.00001323414,0.000004492228,0.00000523518,0.0003758417,0.0000229528,0.001123781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002956891,"threshold_uncertainty_score":0.005879343,"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."}}