{"id":"W2898979483","doi":"10.1016/j.ijfatigue.2018.10.019","title":"Influence of solution treatment on the corrosion fatigue behavior of an as-forged Mg-Zn-Y-Zr alloy","year":2018,"lang":"en","type":"article","venue":"International Journal of Fatigue","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":127,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Chinese Academy of Sciences","keywords":"Materials science; Alloy; Corrosion fatigue; Metallurgy; Corrosion; Fatigue limit; Stress corrosion cracking; Cracking; Fracture (geology); Stress (linguistics); 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":[],"consensus_categories":[],"category_scores_codex":[0.0004068308,0.0001235831,0.0001872471,0.0001036917,0.00009663891,0.00003963755,0.0006647038,0.00005146907,0.0004768596],"category_scores_gemma":[0.000134682,0.00007498394,0.00009839411,0.00008466829,0.0002350841,0.0002855133,0.00005346016,0.00007623014,0.00002348918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009922634,"about_ca_system_score_gemma":0.0001250133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004405647,"about_ca_topic_score_gemma":0.00004838731,"domain_scores_codex":[0.9983712,0.00009301421,0.000630607,0.0001398519,0.000640088,0.0001252191],"domain_scores_gemma":[0.9977553,0.00009706248,0.0007764725,0.0002423052,0.001060252,0.00006858257],"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":[0.0002185521,0.0004360454,0.0009006736,0.000004249842,0.00001302732,0.000003544082,0.0005222647,0.001014687,0.9922845,0.002666811,0.0001294144,0.001806196],"study_design_scores_gemma":[0.0006065324,0.00181373,0.014447,0.0001296441,0.00004498107,0.00004459441,0.000219539,0.0005143583,0.9811,0.0003547957,0.0006269643,0.00009791223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973223,0.00002139167,0.0005858684,0.001069424,0.0003494604,0.0002047602,0.00003927305,0.000008117073,0.0003993588],"genre_scores_gemma":[0.9985878,0.00003027722,0.000893307,0.00012733,0.0002020091,0.0000231899,0.000005596864,0.000009612913,0.0001208869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01354633,"threshold_uncertainty_score":0.5221278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05434595563001099,"score_gpt":0.3300151489849635,"score_spread":0.2756691933549525,"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."}}