{"id":"W2899760411","doi":"10.1007/s10853-018-3109-3","title":"Influence of solidification rate on the microstructure, mechanical properties, and thermal conductivity of cast A319 Al alloy","year":2018,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Microstructure; Thermal conductivity; Alloy; Ultimate tensile strength; Composite material; Metallurgy; Aluminium; Porosity; Thermal; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001522861,0.0001799233,0.0001811429,0.0002730383,0.0002260442,0.0003721387,0.0001605187,0.0002251292,0.001760117],"category_scores_gemma":[0.0005285041,0.0002242286,0.0001842457,0.0001994393,0.0002066885,0.0002241115,0.0001057561,0.0002425407,0.0002537155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002705769,"about_ca_system_score_gemma":0.000242304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001716075,"about_ca_topic_score_gemma":0.003767398,"domain_scores_codex":[0.9998732,0.00001298701,0.00001146423,0.00002102726,0.00005625508,0.00002514648],"domain_scores_gemma":[0.9996521,0.0001185164,0.00007294962,0.00003378669,0.00009015209,0.00003237938],"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":[0.0009098014,0.00004314912,0.001645513,0.00006524413,0.00001132173,0.000106398,0.00006080158,0.001250371,0.9923092,0.0001388486,0.00007509968,0.003384308],"study_design_scores_gemma":[0.00001356369,0.000267804,0.009324036,0.000004730672,0.00001946658,0.00004616313,0.00004889754,0.003186932,0.9865367,0.00003314564,0.0005081178,0.00001050165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986915,0.0002693054,0.0001732029,0.00001152793,0.00001002047,0.000002392094,0.00006258036,0.00001615501,0.0007633427],"genre_scores_gemma":[0.9992343,0.00007687369,0.0001163802,0.000004151846,0.000002847107,0.000001373554,0.00004261329,0.000009656075,0.0005116881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001760117,"threshold_uncertainty_score":0.005888224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02834710849668725,"score_gpt":0.2243967457779677,"score_spread":0.1960496372812804,"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."}}