{"id":"W2888754572","doi":"10.3390/jmmp2030056","title":"Intra- and Inter-Repeatability of Profile Deviations of an AlSi10Mg Tooling Component Manufactured by Laser Powder Bed Fusion","year":2018,"lang":"en","type":"article","venue":"Journal of Manufacturing and Materials Processing","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fusion; Standard deviation; Materials science; Repeatability; Metrology; Aerospace; Component (thermodynamics); Mechanical engineering; Mathematics; Engineering; Physics; Statistics","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":[0.001756566,0.0004664237,0.0002894866,0.0007756326,0.0003108312,0.0004004524,0.000411037,0.0004031905,0.0008282326],"category_scores_gemma":[0.003811761,0.0002802275,0.0004023757,0.0006709277,0.0004319219,0.0002063086,0.0004294516,0.000247612,0.0004151665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268962,"about_ca_system_score_gemma":0.0001956948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008621427,"about_ca_topic_score_gemma":0.002173134,"domain_scores_codex":[0.9969608,0.0003794449,0.000158631,0.0005769418,0.001816125,0.0001079601],"domain_scores_gemma":[0.9971364,0.0009110973,0.0002902132,0.0006650564,0.0009507873,0.00004654775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00060208,0.00009502561,0.03570443,0.0001819464,0.00009719006,0.0001089753,0.0007029234,0.002355434,0.8880648,0.0001516509,0.000244904,0.07169069],"study_design_scores_gemma":[0.00001694835,0.001268589,0.3910594,0.00002023095,0.0001849028,0.0007866375,0.0003424524,0.01142615,0.5917013,0.0001853504,0.002940697,0.00006743496],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560646,0.0003276596,0.04151973,0.00001907015,0.00004933493,0.00005593271,0.0002695393,0.0003229581,0.001371187],"genre_scores_gemma":[0.9845293,0.00005407363,0.01459545,0.000009792875,0.000005657329,0.0000283944,0.0001994722,0.00004655854,0.0005313124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001756566,"threshold_uncertainty_score":0.009289682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008681910153586206,"score_gpt":0.2299050386356076,"score_spread":0.2212231284820214,"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."}}