{"id":"W2588446179","doi":"10.1007/978-3-319-52392-7_90","title":"The Effect of Grain Refinement on Hot Tearing in AZ91D Magnesium Alloy","year":2017,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Tearing; Materials science; Magnesium alloy; Casting; Alloy; Metallurgy; Microstructure; Grain size; Mold; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001622826,0.001021448,0.001490723,0.0001711518,0.0003219894,0.0004377597,0.001172601,0.0004004723,0.0004380749],"category_scores_gemma":[0.00008776526,0.0005785742,0.0002422315,0.00002664725,0.0005648486,0.0002117924,0.0003681637,0.0004289475,0.0001069079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001241717,"about_ca_system_score_gemma":0.00003408651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002764875,"about_ca_topic_score_gemma":0.0008949717,"domain_scores_codex":[0.997029,0.0002097017,0.001141422,0.0004933382,0.0004962335,0.0006303267],"domain_scores_gemma":[0.9975205,0.0001964673,0.0005266405,0.001624579,0.0000695068,0.00006229728],"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":[0.0006047811,0.000005223865,0.000005249146,0.0009896395,0.000324927,0.00003199144,0.0002920289,0.0003548541,0.9909237,0.003329722,0.002265191,0.000872692],"study_design_scores_gemma":[0.0007914209,0.0006229148,0.000199112,0.0006364711,0.0003579705,0.00005547877,0.00002999284,0.00001627228,0.7164092,0.001918406,0.2779147,0.001048074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8158467,0.01506111,0.000007120322,0.0007924851,0.01296438,0.005169269,0.0008368118,0.0007793503,0.1485428],"genre_scores_gemma":[0.646829,0.0008639818,0.0001022312,0.00004464652,0.0006814561,0.0002554714,0.00008577805,0.0003580753,0.3507794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2756495,"threshold_uncertainty_score":0.9996666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039672037222739,"score_gpt":0.2069279433506459,"score_spread":0.1965312229784185,"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."}}