{"id":"W2560823256","doi":"10.1007/s11666-016-0495-4","title":"Additive Manufacturing of AlSi10Mg Alloy Using Direct Energy Deposition: Microstructure and Hardness Characterization","year":2016,"lang":"en","type":"article","venue":"Journal of Thermal Spray Technology","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":132,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Materials science; Equiaxed crystals; Microstructure; Electron microprobe; Indentation hardness; Scanning electron microscope; Electron backscatter diffraction; Deposition (geology); Alloy; Substrate (aquarium); Texture (cosmology); Metallurgy; Optical microscope; Porosity; Composite material","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":[0.000160059,0.0001909888,0.0002971927,0.0004010561,0.0002365466,0.0003005499,0.0003488835,0.0002292078,0.001026078],"category_scores_gemma":[0.0001571411,0.0002235707,0.0002655807,0.0003796476,0.0001569506,0.0001612087,0.0001783182,0.0001828925,0.0003337423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003301725,"about_ca_system_score_gemma":0.0003043222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319244,"about_ca_topic_score_gemma":0.00530406,"domain_scores_codex":[0.999752,0.00000996935,0.00001162584,0.00003208823,0.0001711791,0.00002317917],"domain_scores_gemma":[0.9999064,0.00001070012,0.00002083247,0.00001373731,0.00003836724,0.000009853617],"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":[0.00006257981,0.00001163906,0.0003792493,0.00005605132,0.000005359679,0.00004426339,0.00003422534,0.0002830579,0.99569,0.00009735639,0.00006906143,0.003267244],"study_design_scores_gemma":[0.000006750558,0.0002303909,0.007408649,0.000002718451,0.00001765186,0.00008607495,0.0000259279,0.001654726,0.988746,0.00002163374,0.001793662,0.000005840895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917735,0.0005802143,0.004006458,0.00002347666,0.00002971993,0.00002253852,0.0002097201,0.0001010381,0.003253412],"genre_scores_gemma":[0.9909197,0.0001973978,0.005903459,0.00001165196,0.000004764931,0.00001161677,0.0001668455,0.00002596065,0.002758566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001319244,"threshold_uncertainty_score":0.003432512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005089983440071742,"score_gpt":0.1895884127043122,"score_spread":0.1844984292642404,"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."}}