{"id":"W2509517379","doi":"10.2464/jilm.57.185","title":"Tensile and cold-rolling properties of high-purity Mg-3mass % Al-1mass % Zn alloy","year":2007,"lang":"en","type":"article","venue":"Journal of Japan Institute of Light Metals","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Alloy; Ultimate tensile strength; Metallurgy; Ductility (Earth science); Magnesium alloy; Manganese; Magnesium; Grain size; Deformation (meteorology); Composite material; Creep","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":[0.0002756975,0.000264356,0.0003674298,0.0004292199,0.0002300761,0.0002464478,0.0003897171,0.00035497,0.0006983219],"category_scores_gemma":[0.0003501818,0.0002329392,0.000198685,0.0002776871,0.0002512797,0.0002108525,0.0001733733,0.0001683186,0.0002298172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002719038,"about_ca_system_score_gemma":0.0001158031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001613693,"about_ca_topic_score_gemma":0.003732939,"domain_scores_codex":[0.9996209,0.00002798493,0.00002357939,0.00006889563,0.0002229465,0.00003564084],"domain_scores_gemma":[0.9997111,0.00003796857,0.00008035071,0.00003744086,0.000100825,0.00003237185],"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":[0.00008679819,0.000003941446,0.000412231,0.0000257117,0.000005575637,0.00007188861,0.00001947009,0.0001548052,0.9983621,0.00002255021,0.00002068734,0.0008142244],"study_design_scores_gemma":[0.00001075814,0.0003235916,0.01734729,0.000004670173,0.0000260104,0.000210855,0.00004663664,0.001551202,0.9797202,0.00001278361,0.0007359451,0.00001012897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968862,0.0005742233,0.001342565,0.00001868734,0.000009839118,0.000008765074,0.0001207647,0.00004844928,0.0009904418],"genre_scores_gemma":[0.9979342,0.0000990901,0.0008436724,0.000005256423,0.000003846206,0.00000330124,0.0001085945,0.00001428503,0.0009877023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001613693,"threshold_uncertainty_score":0.003208578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499360483521694,"score_gpt":0.2412819822712408,"score_spread":0.2162883774360238,"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."}}