{"id":"W4401954760","doi":"10.18280/mmep.110807","title":"An Investigation of the Mechanical Property Behaviour of Copper/AA7075 Nanocomposites Based on Machine Learning","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Copper; Nanocomposite; Property (philosophy); Materials science; Composite material; Computer science; Metallurgy; Philosophy; Epistemology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002691718,0.0001946639,0.0002502141,0.00009206331,0.00004130677,0.00004644984,0.0001573571,0.00008955743,0.000005824992],"category_scores_gemma":[0.00001433409,0.0001149451,0.00006688668,0.0001659877,0.00005068631,0.00009153513,0.00002912306,0.0003142422,0.00000242915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002540272,"about_ca_system_score_gemma":0.00001196816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001116084,"about_ca_topic_score_gemma":3.864089e-7,"domain_scores_codex":[0.9990382,0.00002845962,0.0003589629,0.0001766989,0.0002224207,0.0001753068],"domain_scores_gemma":[0.9995427,0.0001175286,0.00002529253,0.0002139785,0.00003062795,0.0000698762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003639117,0.0000208402,0.0001160377,0.001589116,0.00001951276,5.636201e-7,0.0005024833,0.8710266,0.12497,0.001618317,0.000002446623,0.0001304732],"study_design_scores_gemma":[0.00008287446,0.0001214065,0.00001544726,0.001338891,0.00003785094,0.000005864702,0.000007390901,0.9377931,0.05974325,0.0006975478,0.00001363575,0.0001427301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7158312,0.000519113,0.2826952,0.00005763425,0.00009208412,0.0002796267,0.000005465553,0.0004337783,0.00008589088],"genre_scores_gemma":[0.9827043,0.000016366,0.01713423,0.000004470813,0.0000164294,0.00002886093,0.000004611304,0.00006111796,0.00002965664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2668731,"threshold_uncertainty_score":0.4687326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763804085781621,"score_gpt":0.1912312607877008,"score_spread":0.1735932199298846,"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."}}