{"id":"W2298723186","doi":"10.1007/bf03355533","title":"Hot Tearing in Cast Al Alloys: Mechanisms and Process Controls","year":2012,"lang":"en","type":"article","venue":"International Journal of Metalcasting","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Tearing; Casting; Structural material; Materials science; Mechanism (biology); Failure mechanism; Work (physics); Process (computing); Alliance; Metallurgy; Mechanical engineering; Forensic engineering; Computer science; Composite material; Engineering; Physics","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":[0.0005066552,0.0001230279,0.0002009759,0.0002059007,0.00002049208,0.00006806287,0.0002019111,0.00004001468,0.00002779063],"category_scores_gemma":[0.0001981364,0.0001052967,0.00004670211,0.00005607839,0.00002544487,0.0006275063,0.00004500332,0.0002362053,0.000002465375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008335544,"about_ca_system_score_gemma":0.00001633857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007046996,"about_ca_topic_score_gemma":0.000006972984,"domain_scores_codex":[0.998969,0.00002166702,0.0004135734,0.00006541394,0.0003152463,0.0002150956],"domain_scores_gemma":[0.9995332,0.00006647104,0.0001361707,0.00003959337,0.0001494695,0.00007512291],"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":[0.0001732069,0.00005840998,0.01821224,0.00007058312,0.0007037115,0.0001918086,0.00515153,0.02067439,0.9189574,0.0007558817,0.00008272764,0.03496807],"study_design_scores_gemma":[0.01688672,0.0005712591,0.09713127,0.003528631,0.0005430643,0.03972807,0.01245432,0.1660515,0.6371933,0.006378309,0.01639802,0.003135629],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893032,0.001589825,0.007378844,0.00009530077,0.001156586,0.00005550396,0.000002670978,0.00002186918,0.0003961996],"genre_scores_gemma":[0.9927259,0.00002910109,0.006824124,0.00007962825,0.0003020011,0.000002028164,6.130009e-7,0.00002373841,0.00001287149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2817642,"threshold_uncertainty_score":0.4293874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467899973586233,"score_gpt":0.2508517648077621,"score_spread":0.2361727650718998,"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."}}