{"id":"W3015739396","doi":"10.1155/2020/9027534","title":"High‐Temperature Tensile Fractography of Zr‐, Ni‐, and Mn‐Containing Al‐Si‐Cu‐Mg Cast Alloys","year":2020,"lang":"en","type":"article","venue":"Advances in Materials Science and Engineering","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Chicoutimi; Université du Québec à Chicoutimi","funders":"","keywords":"Materials science; Alloy; Fractography; Intermetallic; Ductility (Earth science); Dimple; Ultimate tensile strength; Fracture (geology); Metallurgy; Softening; Tensile testing; 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":[],"consensus_categories":[],"category_scores_codex":[0.000234935,0.000213821,0.0003303884,0.0001526111,0.00006147391,0.0001068472,0.0001933836,0.00006115458,0.00001230245],"category_scores_gemma":[0.0001035447,0.0001937617,0.00001403792,0.0004444585,0.0002288045,0.0009491834,0.00009905581,0.0001364785,0.000001037161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002290546,"about_ca_system_score_gemma":0.00001672628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002215026,"about_ca_topic_score_gemma":0.000006660456,"domain_scores_codex":[0.9988626,0.000007828594,0.0002894666,0.0002978538,0.0001984624,0.000343772],"domain_scores_gemma":[0.9996478,0.00002812252,0.00003840227,0.0001248989,0.00005630787,0.0001044918],"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":[0.00001228378,0.00000159577,0.0006083702,0.0002101195,0.000005812995,0.000007331107,0.0007311425,0.012844,0.9848416,0.0001215085,0.00001375707,0.0006024616],"study_design_scores_gemma":[0.0003929309,0.0001092895,0.006200201,0.0002297274,0.00001143914,0.00003452779,0.0004923648,0.005085226,0.9847367,0.00005865711,0.002189825,0.000459064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944524,0.004517551,0.0001192657,0.00007783339,0.0005494276,0.0001158449,0.00002349887,0.0001163619,0.00002786385],"genre_scores_gemma":[0.9936719,0.001245342,0.004843606,0.0001244066,0.00007301082,0.000009955214,0.000002989068,0.00002774894,0.000001045222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007758777,"threshold_uncertainty_score":0.7901374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004476706104306334,"score_gpt":0.1898670785398492,"score_spread":0.1853903724355429,"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."}}