{"id":"W4415504643","doi":"10.1016/j.jallcom.2025.184601","title":"Revealing the interrelationships among mechanical properties, chip morphology and hydrogen storage properties of Mg alloys from the materials processing perspective","year":2025,"lang":"en","type":"article","venue":"Journal of Alloys and Compounds","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Ductility (Earth science); Recrystallization (geology); Hydrogen storage; Dislocation; Hydrogen; Ultimate tensile strength; Deformation (meteorology)","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":[0.0001051439,0.0002135896,0.0001578108,0.0004097075,0.0001370387,0.0004648358,0.0002603172,0.0002690094,0.001305544],"category_scores_gemma":[0.0002781654,0.0002032556,0.0001256949,0.0002775389,0.0002002789,0.0004679001,0.0001463428,0.0002605297,0.0002687561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001576442,"about_ca_system_score_gemma":0.0001456598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007089374,"about_ca_topic_score_gemma":0.002076217,"domain_scores_codex":[0.9999604,0.000002858363,0.000001626433,0.000009951981,0.00001710484,0.000008082505],"domain_scores_gemma":[0.9998709,0.00004650416,0.00003144037,0.00001495316,0.00002948329,0.000006693875],"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":[0.00006002913,0.00001746541,0.00302751,0.00004976001,0.00001224808,0.00006271518,0.00001746874,0.0005350414,0.9912964,0.0004008235,0.00006335275,0.004457074],"study_design_scores_gemma":[0.000007054864,0.0002316193,0.06948955,0.000009258482,0.00005102788,0.0002690916,0.0001610105,0.02423709,0.9029393,0.0007550395,0.001833131,0.00001674713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991762,0.001184093,0.00453771,0.0001101464,0.00001243964,0.000007117372,0.0002009821,0.00008706264,0.002098434],"genre_scores_gemma":[0.9967361,0.0005115049,0.001972007,0.00003003744,0.00001077526,0.000004059194,0.0001026157,0.00001706213,0.0006158808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001305544,"threshold_uncertainty_score":0.00436753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02909546651296884,"score_gpt":0.2467075999232074,"score_spread":0.2176121334102386,"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."}}