{"id":"W4385643240","doi":"10.31399/asm.amp.2014-03.p015","title":"Finding and Removing Inclusions in Magnesium Alloys","year":2014,"lang":"en","type":"article","venue":"AM&P Technical Articles","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Magnesium; Metallurgy; Materials science; Inclusion (mineral); Corrosion; Mineralogy; 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":[0.0004708944,0.0005264254,0.0005799261,0.001379135,0.0005987812,0.0006104655,0.0005855673,0.0005848503,0.0009341736],"category_scores_gemma":[0.0007039027,0.0003643597,0.0003539957,0.0006868329,0.0005595055,0.0005906643,0.0005037313,0.0005483959,0.0006502594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003883254,"about_ca_system_score_gemma":0.0005202197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001803149,"about_ca_topic_score_gemma":0.004729206,"domain_scores_codex":[0.9992313,0.00005401388,0.00004360665,0.00009320505,0.0005209707,0.00005683455],"domain_scores_gemma":[0.999645,0.00006358917,0.00009151603,0.00003803578,0.0001443475,0.00001756198],"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":[0.00005927006,0.00001831538,0.0006175346,0.0004615864,0.00001292732,0.0001574525,0.0001287427,0.0002185686,0.972571,0.0003888979,0.0001636494,0.02520201],"study_design_scores_gemma":[0.000004062718,0.0001293587,0.00209016,0.00004728663,0.00002196303,0.0002713797,0.00007775849,0.000483729,0.9873152,0.0001410087,0.009408689,0.000009342385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8791659,0.02732437,0.07886721,0.0003589427,0.0003872866,0.0002872846,0.0002582287,0.0008751851,0.0124755],"genre_scores_gemma":[0.8357689,0.009479591,0.1434464,0.0001897314,0.00007359487,0.0001106817,0.0002482214,0.0001846702,0.01049812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001803149,"threshold_uncertainty_score":0.003585339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627008658505345,"score_gpt":0.2441035750171688,"score_spread":0.2278334884321153,"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."}}