{"id":"W4249174206","doi":"10.1504/ijrapidm.2020.107735","title":"Experimental and numerical investigation on the effect of layer thickness during laser powder-bed fusion of stainless steel 17-4PH","year":2020,"lang":"en","type":"article","venue":"International Journal of Rapid Manufacturing","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Fusion; Laser power scaling; Layer (electronics); Porosity; Composite material; Laser; Finite element method; Heat transfer; Scanning electron microscope; Optics; Structural engineering; Mechanics","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":[0.0002082228,0.0001685239,0.0002783859,0.00009941537,0.00003960028,0.00004062806,0.0002526166,0.00005082141,0.0001758844],"category_scores_gemma":[0.00007040269,0.0001144364,0.0000815354,0.00003441978,0.0000592685,0.0001954631,0.00008115535,0.0001941768,0.000001534296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004011817,"about_ca_system_score_gemma":0.0000111702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004593548,"about_ca_topic_score_gemma":1.518711e-7,"domain_scores_codex":[0.9988642,0.00007706595,0.0004216249,0.0001076699,0.0004174577,0.0001120288],"domain_scores_gemma":[0.9992318,0.0002685999,0.0002822447,0.00006822718,0.00007561113,0.00007353042],"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":[0.0008211168,0.00002500224,0.0007120812,0.0003656459,0.0002926457,0.00003828214,0.001824672,0.01748382,0.9761721,0.00004923882,0.0001963292,0.002019017],"study_design_scores_gemma":[0.0007394497,0.0002978147,0.004949916,0.0002131082,0.00001807706,0.00003162773,0.0001972931,0.0003109539,0.9929074,0.00005218341,0.0001804379,0.0001017243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984419,0.0001734033,0.0003681394,0.0004014842,0.0003474486,0.0001001558,0.00001964605,0.00002055126,0.0001272694],"genre_scores_gemma":[0.9995213,0.00003943828,0.00007397399,0.00007395278,0.0002572517,0.000003671292,0.000003511523,0.00002209203,0.000004880917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01717286,"threshold_uncertainty_score":0.466658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576568677893579,"score_gpt":0.2310154536283287,"score_spread":0.2152497668493929,"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."}}