{"id":"W1991640038","doi":"10.4028/www.scientific.net/msf.519-521.1499","title":"Improved Multiple Ageing Treatments for AA6111","year":2006,"lang":"en","type":"article","venue":"Materials science forum","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Ageing; Metallurgy","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":[0.0001596421,0.0001593961,0.0001569538,0.00007892948,0.0002392092,0.0002235728,0.0002708821,0.00004372859,0.00003877479],"category_scores_gemma":[0.00002911922,0.0001302197,0.00003150198,0.0001274709,0.0001723846,0.0003505916,0.00006034002,0.00002196934,0.00002177538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001245583,"about_ca_system_score_gemma":0.00002498363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002201077,"about_ca_topic_score_gemma":0.00005192044,"domain_scores_codex":[0.9988756,0.000004863557,0.0002110174,0.0002308895,0.0001187533,0.0005588997],"domain_scores_gemma":[0.9996698,0.00001430436,0.00003289897,0.0001986763,0.00004223722,0.00004206811],"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":[0.000009796718,0.000006038175,0.0002054545,0.00001895044,0.000004888034,9.704846e-7,0.00004874552,0.0004231989,0.9983919,0.00007210788,0.0003047949,0.0005131051],"study_design_scores_gemma":[0.0003596989,0.00004060512,0.001860932,0.00001009189,0.000009269471,0.00000478829,0.00004246706,0.004893363,0.9906259,0.0003846917,0.001597853,0.0001703448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953017,0.00007618154,0.002205219,0.00004022465,0.001319998,0.0004215628,0.00007665109,0.0002769237,0.0002815198],"genre_scores_gemma":[0.9936081,0.000002023468,0.005852827,0.00002716562,0.0001098193,0.00008850116,0.00001453408,0.00003236721,0.0002646799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007766055,"threshold_uncertainty_score":0.5310203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006685226696661534,"score_gpt":0.1990801566332812,"score_spread":0.1923949299366197,"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."}}