{"id":"W2800506258","doi":"10.1139/tcsme-2016-0026","title":"DRY SLIDING WEAR BEHAVIOR OPTIMIZATION OF STIR CAST LM6/ZrO<sub>2</sub> COMPOSITES BY RESPONSE SURFACE METHODOLOGY ANALYSIS","year":2016,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Composite material; Response surface methodology; Surface roughness; Logarithm; Polynomial; Computer science; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002361061,0.0002460116,0.0003589912,0.0003779051,0.0001153576,0.000188469,0.0002155518,0.0002368894,0.0006173236],"category_scores_gemma":[0.0002410365,0.0001420663,0.0003870744,0.0002544491,0.0001146938,0.0001253967,0.00007892311,0.0001698692,0.0001846722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435697,"about_ca_system_score_gemma":0.0001115743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007654717,"about_ca_topic_score_gemma":0.002211435,"domain_scores_codex":[0.9998235,0.00001518731,0.0000134546,0.00002332603,0.0001040299,0.00002043055],"domain_scores_gemma":[0.9998252,0.00003060534,0.00004847183,0.00001593146,0.00006753035,0.00001223374],"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":[0.0000726174,0.00002177413,0.0002615993,0.00006983573,0.000004515468,0.00002295713,0.00001975002,0.001010294,0.9947523,0.00001668786,0.00002011904,0.003727575],"study_design_scores_gemma":[0.000005768924,0.0005338129,0.0063864,0.000003377133,0.00001551336,0.00005686762,0.00004310138,0.007009909,0.9854101,0.00001499488,0.0005094385,0.00001076968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932074,0.0005793307,0.005444496,0.0000217629,0.000008446456,0.00001630969,0.0001024592,0.00009245754,0.0005275037],"genre_scores_gemma":[0.9920939,0.0003668519,0.006261044,0.00000572193,0.000002869051,0.00001493695,0.0001014227,0.00001691763,0.001136253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007654717,"threshold_uncertainty_score":0.002065182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826272499372143,"score_gpt":0.2135665371449969,"score_spread":0.1953038121512755,"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."}}