{"id":"W2978267019","doi":"10.1016/j.jmatprotec.2019.116436","title":"Effect of ultrasonic excitation on the process of L-PBFAM","year":2019,"lang":"en","type":"article","venue":"Journal of Materials Processing Technology","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Innovation and Technology Fund","keywords":"Materials science; Ultrasonic sensor; Nucleation; Microstructure; Residual stress; Excitation; Grain size; Finite element method; Anisotropy; Composite material; Metallurgy; Optics; Acoustics; Structural engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007518286,0.0001594894,0.0005084886,0.0002503427,0.0000275478,0.00002481274,0.0003427188,0.0001498125,0.000139191],"category_scores_gemma":[0.0002630254,0.00009580507,0.00004365926,0.0002041439,0.0000996767,0.0001362508,0.00001891803,0.000142207,0.000008036036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002063721,"about_ca_system_score_gemma":0.0000383802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.981055e-7,"about_ca_topic_score_gemma":1.055939e-7,"domain_scores_codex":[0.9989228,0.00005963859,0.000578089,0.00008831239,0.0001959199,0.0001552917],"domain_scores_gemma":[0.9987894,0.0002082811,0.0006451624,0.000145312,0.000196148,0.00001566795],"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":[0.0002372944,0.00002475505,0.0001129358,0.00325372,0.00004911212,0.000002240404,0.0001716323,0.0009080179,0.9886613,0.0002555636,0.0000486282,0.006274748],"study_design_scores_gemma":[0.0003402281,0.0009018626,0.0002579826,0.0007778525,0.0000327167,0.00003769184,0.00009559011,0.00002395004,0.9947239,0.002637648,0.00008418317,0.00008643064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998575,0.0002940161,0.0001736231,0.0001097883,0.0004288301,0.0001612112,0.00001109947,0.00006046053,0.0001859418],"genre_scores_gemma":[0.99968,0.00006117393,0.0001422267,0.000007847263,0.00006498799,0.000008029038,0.000001275319,0.00002759831,0.000006806308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006188317,"threshold_uncertainty_score":0.3906817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004378652457385208,"score_gpt":0.2318058433649706,"score_spread":0.2274271909075855,"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."}}