{"id":"W4404463998","doi":"10.59499/wp225370853","title":"Monitoring Moisture In Additive Manufacturing Powder Feedstocks","year":2022,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Moisture; Environmental science; Water content; Pulp and paper industry; Process engineering; Materials science; Waste management; Composite material; Geology; Engineering; Geotechnical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005683727,0.000455181,0.0003374522,0.0009231713,0.0001928258,0.0004970434,0.0004049335,0.0004572399,0.00121971],"category_scores_gemma":[0.0009021965,0.0002025234,0.0003571144,0.0007908504,0.0001926815,0.0005306107,0.0002696089,0.0006473449,0.0005925922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003141425,"about_ca_system_score_gemma":0.0001436794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006500271,"about_ca_topic_score_gemma":0.001006869,"domain_scores_codex":[0.9989586,0.00009844881,0.00005274764,0.0001834645,0.0006491973,0.00005749883],"domain_scores_gemma":[0.9995435,0.0001609787,0.0001102007,0.00003874905,0.0001299678,0.00001651396],"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":[0.00006929928,0.00001811767,0.001222978,0.0001904567,0.00001184741,0.00004969605,0.00002836853,0.0001591959,0.9844382,0.00004921601,0.0001209131,0.01364168],"study_design_scores_gemma":[0.000001624307,0.00009329186,0.003053598,0.00001016295,0.00001478571,0.00007550274,0.00002284106,0.0004966616,0.9949393,0.00002840155,0.001257504,0.000006185998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9252918,0.007495573,0.05615822,0.0001588538,0.000244241,0.0001412393,0.002230655,0.001161622,0.007117824],"genre_scores_gemma":[0.9495187,0.004880432,0.03968454,0.0001988532,0.00004137752,0.0001022471,0.001165609,0.0001504855,0.004257748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00121971,"threshold_uncertainty_score":0.004080355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058752458002146,"score_gpt":0.2110493253202724,"score_spread":0.2004618007402509,"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."}}