{"id":"W2081029901","doi":"10.1016/j.msea.2013.06.030","title":"The effects of manganese on the Τ-phase and creep resistance in Al–Si–Cu–Mg–Ni alloys","year":2013,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Creep; Materials science; Intermetallic; Metallurgy; Brittleness; Cracking; Phase (matter); Manganese; Deformation (meteorology); Composite material; Alloy; Chemistry","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":[0.0004587056,0.000132612,0.0001389879,0.00006378421,0.0001066165,0.000187882,0.0002276702,0.00002976097,0.000006991138],"category_scores_gemma":[0.0002370244,0.00007494817,0.000008126982,0.0001722676,0.0002651521,0.0001675562,0.00006025178,0.00007103166,0.000004501445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002820483,"about_ca_system_score_gemma":0.000009805708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005803705,"about_ca_topic_score_gemma":0.00001520564,"domain_scores_codex":[0.9992352,0.00001396109,0.000164443,0.0001477347,0.0001677321,0.000270949],"domain_scores_gemma":[0.9995512,0.000142416,0.00002031464,0.0002128282,0.00003122586,0.00004197386],"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":[0.000006362957,0.000002887978,0.00001918151,0.0001336827,0.000003732923,0.000001823077,0.000509581,0.0001542351,0.9982462,0.0004349398,0.0001982258,0.0002891357],"study_design_scores_gemma":[0.0004256468,0.00007764262,0.0177363,0.0002894377,0.000006486984,0.000009127166,0.0001245672,0.005381946,0.973929,0.0002126642,0.001559578,0.0002475979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99805,0.0009844925,0.00001805,0.0002264042,0.0003520849,0.0002475992,0.000002684031,0.00005074454,0.0000679132],"genre_scores_gemma":[0.9994633,0.0001664076,0.0001908619,0.00005136656,0.00002164196,0.00005241372,2.681006e-7,0.0000156039,0.00003812624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02431721,"threshold_uncertainty_score":0.3056298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003815511035293358,"score_gpt":0.1810286254165733,"score_spread":0.17721311438128,"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."}}