{"id":"W4390264079","doi":"10.1088/2053-1591/ad18f1","title":"Delicate control of graphite flakes alignment in the copper matrices via powder selections and filling processes","year":2023,"lang":"en","type":"article","venue":"Materials Research Express","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Guangdong Academy of Sciences; Natural Science Foundation of Guangdong Province","keywords":"Materials science; Powder metallurgy; Flake; Graphite; Copper; Composite number; Composite material; Anisotropy; Thermal; Pressing; Hot pressing; Metal powder; Powder mixture; Metal; Metallurgy; Microstructure; Sintering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001780204,0.0004850978,0.0002373169,0.0002442691,0.0002215972,0.0003218251,0.0002585068,0.000267297,0.0006238067],"category_scores_gemma":[0.0003477631,0.0002545184,0.0001507632,0.000266073,0.0003014662,0.0002605456,0.0001979579,0.0003641284,0.0002319893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002091831,"about_ca_system_score_gemma":0.0001983513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004221142,"about_ca_topic_score_gemma":0.001183829,"domain_scores_codex":[0.9998431,0.00001779568,0.0000149368,0.00005004674,0.00004264076,0.00003145506],"domain_scores_gemma":[0.9997445,0.00006143887,0.00008546635,0.00005969034,0.00003314815,0.00001581508],"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":[0.00004526056,0.000009735508,0.0001491974,0.0000403842,0.000002839104,0.00004124198,0.00002343481,0.0001558011,0.9973022,0.0001431575,0.00003094956,0.002055817],"study_design_scores_gemma":[0.000005161287,0.00005593463,0.0007899549,0.000001854022,0.000003223644,0.00005013948,0.00001064306,0.0008172042,0.9977077,0.0000210415,0.0005329321,0.000004212368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875136,0.0003102805,0.01057256,0.0000340814,0.00001965733,0.00003344054,0.00008428834,0.0002073148,0.001224936],"genre_scores_gemma":[0.9885201,0.0001275376,0.01082658,0.00001018392,0.000006379768,0.00002222765,0.0000461722,0.00003552727,0.0004053269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006238067,"threshold_uncertainty_score":0.002086818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03596087232535419,"score_gpt":0.2857114240955997,"score_spread":0.2497505517702455,"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."}}