{"id":"W1971362726","doi":"10.4028/www.scientific.net/msf.618-619.595","title":"Development of Aluminium Alloys for High Temperature Applications in Diesel Engines","year":2009,"lang":"en","type":"article","venue":"Materials science forum","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; University of Windsor","keywords":"Dilatometer; Materials science; Diesel fuel; Metallurgy; Aluminium; Casting; Diesel engine; Automotive engineering; Thermal expansion","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002575838,0.0001398973,0.0001990955,0.0001426278,0.0001160194,0.00006341494,0.0003533738,0.00005813971,0.00001480017],"category_scores_gemma":[0.00002130011,0.0001145537,0.00001518229,0.0002822967,0.0001203547,0.0002119685,0.00003952661,0.00003563279,0.000003808757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000723967,"about_ca_system_score_gemma":0.00007210623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003761439,"about_ca_topic_score_gemma":0.0000149776,"domain_scores_codex":[0.9989736,0.000003849772,0.0003225232,0.0001923054,0.0001468355,0.0003609078],"domain_scores_gemma":[0.9996624,0.00001092437,0.00003685503,0.0001840593,0.00006741369,0.00003833919],"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":[0.0000057537,0.00000987653,0.00003147269,0.00004195542,0.000002287222,9.084621e-8,0.0005167104,0.0002509925,0.9974031,0.001205442,0.00006195477,0.0004704022],"study_design_scores_gemma":[0.0001307884,0.00002051059,0.003227383,0.00002298269,0.000002256393,0.000001151679,0.0002324422,0.0000489899,0.9942337,0.0004454344,0.001490853,0.0001435424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980759,0.00007666339,0.000779537,0.00009631141,0.0003353284,0.0004686594,0.00003280568,0.00008821191,0.00004657519],"genre_scores_gemma":[0.9684681,0.000004942055,0.03128921,0.00002798133,0.0000362008,0.0001131851,0.00001593883,0.00001282788,0.00003159374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03050967,"threshold_uncertainty_score":0.4671364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007218726966277208,"score_gpt":0.2163116049942111,"score_spread":0.2090928780279339,"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."}}