{"id":"W2029762100","doi":"10.4028/www.scientific.net/msf.539-543.2713","title":"X-Ray Diffraction Study of Stress in a Magnesium-Hydrogen System Produced by High-Energy Milling of Powders","year":2007,"lang":"en","type":"article","venue":"Materials science forum","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydrogenics (Canada); University of Waterloo; Natural Resources Canada","funders":"","keywords":"Materials science; Magnesium; Diffraction; High energy; Metallurgy; Hydrogen; X-ray; Stress (linguistics); Energy (signal processing); Engineering physics; Optics; Engineering; Organic 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":[0.0002743343,0.0001702959,0.0003292694,0.0004457004,0.0003821799,0.0004116059,0.0005076774,0.0004801057,0.001216233],"category_scores_gemma":[0.0003319397,0.0002065329,0.0002207791,0.0006983312,0.0003119802,0.0002207175,0.0001646798,0.000481799,0.0001922686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003044223,"about_ca_system_score_gemma":0.000211944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001321619,"about_ca_topic_score_gemma":0.001636901,"domain_scores_codex":[0.9997247,0.00002102892,0.00001950306,0.00005006234,0.0001452492,0.00003939283],"domain_scores_gemma":[0.9997737,0.00006529357,0.00006020531,0.00002032151,0.00005661761,0.00002396808],"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":[0.0001599088,0.00002670107,0.001961446,0.00009991443,0.00002540133,0.0002299399,0.000180544,0.0001401913,0.9952815,0.0001334932,0.00009765615,0.001663215],"study_design_scores_gemma":[0.00005928208,0.0005761798,0.06070705,0.00002104543,0.00003893398,0.000634658,0.0003045555,0.001875937,0.9322248,0.00007566136,0.003466581,0.00001538435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955934,0.001367394,0.0009907617,0.00006634598,0.0000176206,0.00001436574,0.0002889016,0.00002820589,0.001633041],"genre_scores_gemma":[0.9967306,0.0004485507,0.001369926,0.0000368011,0.000008257965,0.000008253683,0.0005447973,0.00001506739,0.0008377322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001321619,"threshold_uncertainty_score":0.004068732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005804013396848602,"score_gpt":0.2156084974319588,"score_spread":0.2098044840351102,"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."}}