{"id":"W3009870602","doi":"10.1007/s11663-020-01803-1","title":"Gas-Enhanced Ultrahigh-Shear Mixing: An Application to Molten Aluminum Alloys","year":2020,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions B","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Shearing (physics); Shear (geology); Materials science; Aluminium; Intermetallic; Metallurgy; Mixing (physics); Composite material; 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":[],"consensus_categories":[],"category_scores_codex":[0.00008048423,0.000213994,0.0003140199,0.00003738399,0.0001074197,0.0001395925,0.0001446247,0.0001105437,0.0007418157],"category_scores_gemma":[0.000005265501,0.000199891,0.00004758392,0.0001418788,0.00005646432,0.0002452743,0.000008637108,0.0001044564,0.0001288798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001854458,"about_ca_system_score_gemma":0.000007162178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006178684,"about_ca_topic_score_gemma":0.00001992679,"domain_scores_codex":[0.9989345,0.00003798377,0.0003033677,0.0003385619,0.000127421,0.0002581321],"domain_scores_gemma":[0.9994739,0.00001175144,0.00002035926,0.0001618745,0.0000313815,0.0003007062],"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":[0.00005395706,0.00001850389,9.960748e-8,0.00007131169,0.00004779514,0.000002182572,0.0006994431,0.02065,0.9765962,0.00004530955,0.00003663841,0.001778591],"study_design_scores_gemma":[0.0005423106,0.000186918,0.0001826457,0.00001613547,0.0001186284,0.00004935003,0.0001598376,0.01628383,0.9469754,0.0001013115,0.0348434,0.0005402152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4168707,0.00007678931,0.5814006,0.0004398974,0.0002451884,0.0003195821,0.00004399235,0.0004270658,0.0001761163],"genre_scores_gemma":[0.993252,0.00008955415,0.00592802,0.0002430571,0.0001973724,0.0001215666,0.00003158317,0.00005061086,0.00008628281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5763812,"threshold_uncertainty_score":0.8151317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110140871419099,"score_gpt":0.2041491500553457,"score_spread":0.1930477413411547,"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."}}