{"id":"W1988831469","doi":"10.1007/s11663-012-9694-7","title":"Effect of Mn, Si, and Cooling Rate on the Formation of Iron-Rich Intermetallics in 206 Al-Cu Cast Alloys","year":2012,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions B","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Intermetallic; Materials science; Alloy; Metallurgy; Scanning electron microscope; Electron backscatter diffraction; Differential scanning calorimetry; Cast iron; Casting; Induction furnace; Microstructure; Composite material; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005052849,0.0001317299,0.0002858378,0.00005655507,0.0000376132,0.00002534075,0.00005125418,0.00006322475,0.0001422366],"category_scores_gemma":[0.00001257792,0.00008531541,0.00003271351,0.00007184042,0.00009407535,0.0002010711,0.000008190103,0.00008595418,0.00000301952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001252503,"about_ca_system_score_gemma":0.000001989578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004449329,"about_ca_topic_score_gemma":0.00002452061,"domain_scores_codex":[0.9992707,0.0001251043,0.0003050333,0.00007786637,0.00006888391,0.0001524307],"domain_scores_gemma":[0.9996995,0.0001201578,0.00004435303,0.00008732002,0.00001365544,0.00003506265],"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":[0.0002217627,0.00003325129,0.000005117544,0.0005859719,0.00006070429,0.000001228761,0.0009553654,0.004090974,0.9925607,0.0001069624,0.000009671675,0.001368267],"study_design_scores_gemma":[0.0005692805,0.0001553618,0.0008790704,0.00008656893,0.0001056481,0.00005392209,0.00008130768,0.005069912,0.9921153,0.00001388594,0.0007193797,0.0001503998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902253,0.0003780327,0.008841397,0.00002679325,0.0002060648,0.0002178147,0.00002852363,0.00002269458,0.00005340057],"genre_scores_gemma":[0.9994904,0.0003038841,0.0001056658,0.00001426504,0.00001529991,0.00002501645,0.000006228604,0.00001485456,0.00002436504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009265142,"threshold_uncertainty_score":0.3479061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009207386886244243,"score_gpt":0.2095062247586369,"score_spread":0.2002988378723927,"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."}}