{"id":"W2531702275","doi":"10.1557/mrs.2016.214","title":"Microstructure and mechanical property considerations in additive manufacturing of aluminum alloys","year":2016,"lang":"en","type":"article","venue":"MRS Bulletin","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":154,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Microstructure; Materials science; Aluminium; Metallurgy; Property (philosophy); 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":[0.0003295754,0.0001752887,0.0002397719,0.0004924465,0.0004239338,0.0005898302,0.0004417014,0.0003938618,0.0009284728],"category_scores_gemma":[0.0005066548,0.0002615095,0.000248388,0.000313545,0.0002920665,0.0003915536,0.000167849,0.0002431911,0.0002281788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004305296,"about_ca_system_score_gemma":0.0002954412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064763,"about_ca_topic_score_gemma":0.003758089,"domain_scores_codex":[0.9997571,0.00003024043,0.00001304115,0.00001585621,0.0001668264,0.000016932],"domain_scores_gemma":[0.9997922,0.00005671804,0.00003440937,0.00001624953,0.00009483848,0.000005620626],"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":[0.0002117133,0.0001355256,0.002373568,0.0004861692,0.00002847256,0.0008528923,0.0001393885,0.04256865,0.8547217,0.03732487,0.0009268849,0.06023024],"study_design_scores_gemma":[0.0000474656,0.00202624,0.05307166,0.00008574532,0.0001253791,0.00234014,0.0004919307,0.2189022,0.6508769,0.02668417,0.04526643,0.00008168753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7758617,0.02350194,0.1398985,0.001164264,0.0004255017,0.0001097095,0.0001884873,0.0002008009,0.0586491],"genre_scores_gemma":[0.972631,0.003421044,0.0163519,0.0000691507,0.0001466721,0.00003276544,0.00006584622,0.0000338797,0.007247761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001064763,"threshold_uncertainty_score":0.003123701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008236629678460632,"score_gpt":0.1895801482960308,"score_spread":0.1813435186175701,"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."}}