{"id":"W2930464785","doi":"10.2320/matertrans.l-m2020827","title":"Relationship between Deep Drawability and Microstructure of Magnesium Alloy","year":2020,"lang":"en","type":"article","venue":"MATERIALS TRANSACTIONS","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Microstructure; Metallurgy; Magnesium alloy; Magnesium; Alloy; 5052 aluminium alloy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001847133,0.0001522037,0.0002778218,0.00002895699,0.0002339395,0.00008241843,0.0001770414,0.0001080524,0.003036214],"category_scores_gemma":[0.00004073133,0.0001353497,0.00004556104,0.000146191,0.0002114657,0.0001788551,0.00001868546,0.00007751033,0.00005627709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001217389,"about_ca_system_score_gemma":0.00003224905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001604154,"about_ca_topic_score_gemma":0.00002077552,"domain_scores_codex":[0.9987953,0.00009710103,0.0004533124,0.0003286524,0.0001358315,0.0001897622],"domain_scores_gemma":[0.9993398,0.0000957859,0.0001176601,0.0002465604,0.00006488252,0.0001353519],"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":[0.00003255448,0.00001888699,0.00288466,0.000270718,0.000002782893,2.960269e-7,0.0006300952,0.00005097124,0.9955436,0.0004384258,0.00002038553,0.0001066449],"study_design_scores_gemma":[0.0003679009,0.00009682492,0.1904847,0.000006151925,0.0001182195,0.000006074534,0.0002321104,0.00002877635,0.8064432,0.0007723867,0.001206379,0.0002372552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850137,0.00005598546,0.01094085,0.002850213,0.0001317735,0.0003382371,0.0004353576,0.0001025537,0.0001313535],"genre_scores_gemma":[0.9965558,0.000003535632,0.003051111,0.000118852,0.0001070159,0.00004859598,0.00002483344,0.00001934334,0.00007090117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1891004,"threshold_uncertainty_score":0.9978752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267380083850098,"score_gpt":0.2337301222083771,"score_spread":0.2069921138233673,"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."}}