{"id":"W2293988027","doi":"","title":"Linear sliding wear behavior of aluminium matrix composites reinforced by particulates","year":2013,"lang":"en","type":"preprint","venue":"DSpace (Centre National De La Recherche Scientifique)","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Materials science; Composite material; Rubbing; Lubrication; Particulates; Volume fraction; Tribology; Aluminium; Composite number; Mixing (physics); Matrix (chemical analysis)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002924459,0.0005067233,0.0005291698,0.0003180986,0.0001030903,0.0003134006,0.0007365169,0.001220771,0.0002830218],"category_scores_gemma":[0.001012837,0.0005230656,0.0002717327,0.0004317272,0.0002464092,0.000254107,0.0005017857,0.001646038,0.0001554748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137358,"about_ca_system_score_gemma":0.0003452469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001411852,"about_ca_topic_score_gemma":0.000007175282,"domain_scores_codex":[0.9964206,0.0007994117,0.0006786964,0.000583754,0.0009392399,0.0005782681],"domain_scores_gemma":[0.9968039,0.001408424,0.0002611382,0.000475202,0.000821553,0.0002297938],"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":[0.00001868956,0.0001003581,0.0008290101,0.0006790338,0.0002153948,0.000005416393,0.002317792,0.0996104,0.8640333,0.001424275,0.03052455,0.0002418092],"study_design_scores_gemma":[0.0003161323,0.00001077474,0.0002471845,0.0004494623,0.0001113399,0.00001088929,0.0001264581,0.4066913,0.5875732,0.0005666477,0.003338152,0.0005584693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830125,0.002496204,0.005152684,0.0006686829,0.0008528393,0.001419714,0.0003065058,0.000746209,0.005344649],"genre_scores_gemma":[0.9062637,0.0003977424,0.07771669,0.00004616841,0.0001578334,0.0001840839,0.0005956485,0.000167037,0.01447112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3070809,"threshold_uncertainty_score":0.9997221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07980147585181213,"score_gpt":0.3245290183049795,"score_spread":0.2447275424531674,"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."}}