{"id":"W4380203470","doi":"10.31399/asm.amp.2018-04.p016","title":"Overcoming Barriers to Magnesium Rolling","year":2018,"lang":"en","type":"article","venue":"AM&P Technical Articles","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Formability; Magnesium; Materials science; Metallurgy; Obstacle; Scale (ratio); Mechanical engineering; Manufacturing engineering; Engineering; Physics; Political science","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":["insufficient_payload"],"category_scores_codex":[0.0003439857,0.0001253454,0.0001439998,0.00004407765,0.0003651473,0.0001128191,0.0003923824,0.00005974891,0.00293935],"category_scores_gemma":[0.0002839214,0.0001021228,0.00004848395,0.0002859479,0.0002196194,0.0001518738,0.0002365052,0.00007067157,0.002119185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003363474,"about_ca_system_score_gemma":0.00003516264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001195724,"about_ca_topic_score_gemma":0.0000906609,"domain_scores_codex":[0.9986991,0.00003174695,0.0002805005,0.0003636333,0.0002175549,0.0004075008],"domain_scores_gemma":[0.9990168,0.00005352072,0.00004217086,0.000444759,0.00008343038,0.0003593587],"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":[0.00002749495,0.00002608796,0.0005326647,0.000006621535,7.403335e-7,0.000001259511,0.000109889,0.00001279675,0.9910369,0.004087258,0.001329317,0.002828963],"study_design_scores_gemma":[0.0001762985,0.0002140008,0.00232151,0.00001261771,0.00001664058,0.000008899585,0.0001784466,0.0004833273,0.9654024,0.002605252,0.02833259,0.000248018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875248,0.00003064423,0.003187905,0.004406871,0.0001122035,0.0002541305,0.000005517617,0.0003778478,0.004100095],"genre_scores_gemma":[0.982406,0.00000133517,0.01511468,0.001779202,0.0002353887,0.00009328574,4.987184e-7,0.0000191923,0.0003503886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02700328,"threshold_uncertainty_score":0.9986578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695021981457479,"score_gpt":0.2544795427734328,"score_spread":0.237529322958858,"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."}}