{"id":"W4308099455","doi":"10.1080/21663831.2022.2138724","title":"Partitioning of Ca to metastable precipitates in a Mg-rare earth alloy","year":2022,"lang":"en","type":"article","venue":"Materials Research Letters","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; U.S. Department of Energy","keywords":"Metastability; JavaScript; Materials science; Alloy; Rare earth; Zoom; Crystallography; Computer science; Metallurgy; Physics; Chemistry; Programming language; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001042073,0.0001630836,0.0003333569,0.000264353,0.0003443169,0.000396003,0.0002234472,0.0001963411,0.0005131189],"category_scores_gemma":[0.0001938722,0.0002011311,0.0001582001,0.0001385963,0.0002237022,0.0002300437,0.000190515,0.0001824492,0.000112102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003446954,"about_ca_system_score_gemma":0.0003463292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002695821,"about_ca_topic_score_gemma":0.005297338,"domain_scores_codex":[0.9999081,0.000008086014,0.000006154437,0.00003256455,0.00002758412,0.00001757269],"domain_scores_gemma":[0.999947,0.00001489123,0.00001125974,0.000004904583,0.00001380561,0.000008163721],"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":[0.0001879797,0.00001972224,0.001422738,0.00004675368,0.000007718805,0.0001158611,0.00003955911,0.0009691223,0.9947967,0.0002318565,0.00002269912,0.002139318],"study_design_scores_gemma":[0.0000274655,0.0002446606,0.006320874,0.000005334036,0.00001342751,0.0001444544,0.00006007748,0.006673494,0.9855494,0.0002456966,0.000707805,0.000007359685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984574,0.0002749524,0.0007839811,0.00001349417,0.000003061632,0.000006929246,0.00003234716,0.00001678965,0.000410953],"genre_scores_gemma":[0.998639,0.0001084868,0.000705315,0.00001133434,0.000001570401,0.000005736639,0.00004577747,0.00001007703,0.0004727356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002695821,"threshold_uncertainty_score":0.005360186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0566889793135527,"score_gpt":0.315532200908482,"score_spread":0.2588432215949293,"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."}}