{"id":"W2079922032","doi":"10.1007/s11661-002-0218-y","title":"The effects of test temperature, temper, and alloyed copper on the hydrogen-controlled crack growth rate of an Al-Zn-Mg-(Cu) alloy","year":2002,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Metallurgy; Copper; Materials science; Alloy; Activation energy; Embrittlement; Intergranular fracture; Growth rate; Intergranular corrosion; Chemistry","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":[0.0003280312,0.0002905722,0.0002784971,0.0002055926,0.0002311126,0.0003320495,0.0003774128,0.0002797751,0.001300536],"category_scores_gemma":[0.001257983,0.0002956125,0.0001620613,0.0001998183,0.0003494567,0.0003219469,0.0001606467,0.00028748,0.0002076426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003978662,"about_ca_system_score_gemma":0.0001971918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002309619,"about_ca_topic_score_gemma":0.003288819,"domain_scores_codex":[0.9997715,0.0000338975,0.00002579553,0.00004521424,0.00006468411,0.00005886872],"domain_scores_gemma":[0.9988968,0.0004547203,0.0001598947,0.000155085,0.000253842,0.00007958827],"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":[0.002399217,0.00006053861,0.001894848,0.00005376211,0.00002243362,0.0001322363,0.0001431854,0.001010958,0.9907236,0.00006264965,0.0001050227,0.003391445],"study_design_scores_gemma":[0.00001215711,0.0003243539,0.003986534,0.000002327931,0.00001395953,0.00002920271,0.00003706419,0.002644227,0.9927346,0.000008305795,0.0002012133,0.000005988376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989325,0.0001526826,0.000440696,0.00001492637,0.000008870342,0.000005364774,0.0001074027,0.00003378608,0.0003037359],"genre_scores_gemma":[0.9991571,0.00004564503,0.000261388,0.000006182817,0.000002172402,0.000003015167,0.00007261703,0.00002104975,0.0004309637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002309619,"threshold_uncertainty_score":0.004592359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009760291605107635,"score_gpt":0.221525636065851,"score_spread":0.2117653444607434,"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."}}