{"id":"W3047303225","doi":"10.1080/00325899.2020.1802558","title":"Water atomisation of metal powders: effect of water spray configuration","year":2020,"lang":"en","type":"article","venue":"Powder Metallurgy","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Nozzle; Superheating; Fineness; Geometric standard deviation; Metal powder; Particle size; Spray nozzle; Metallurgy; Powder metallurgy; Particle (ecology); Metal; Particle-size distribution; Standard deviation; Analytical Chemistry (journal); Thermodynamics; Sintering; Chemical engineering; Chromatography; Chemistry","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":[0.00024756,0.0002609638,0.0003870233,0.0001828955,0.000233107,0.0004560463,0.0003194481,0.0003431882,0.001565225],"category_scores_gemma":[0.000954759,0.0001703621,0.0002723976,0.0002698751,0.0003930984,0.0003941151,0.0003245021,0.0003059411,0.0001934006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002508579,"about_ca_system_score_gemma":0.0001894576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182988,"about_ca_topic_score_gemma":0.001100985,"domain_scores_codex":[0.9997917,0.00002058591,0.00001049007,0.0000521186,0.00006074843,0.0000643091],"domain_scores_gemma":[0.999534,0.0002823077,0.00009207101,0.00002902491,0.00004361213,0.00001890449],"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":[0.0006093507,0.00008274991,0.00219943,0.0001360755,0.00002796398,0.0002503174,0.0001038179,0.01066852,0.9780498,0.0002428183,0.00006923634,0.007559981],"study_design_scores_gemma":[0.00004499946,0.001454237,0.006933433,0.000008422763,0.00002905963,0.00008902224,0.0001237474,0.02017905,0.9703789,0.00008691908,0.0006508583,0.00002148423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963326,0.000281374,0.002275846,0.00002561308,0.000008585208,0.00001906644,0.00005158652,0.0000402067,0.0009650465],"genre_scores_gemma":[0.9984286,0.0001783094,0.001107917,0.000008693026,0.000003700245,0.000006964655,0.00002776793,0.00001789602,0.0002201239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001565225,"threshold_uncertainty_score":0.005236149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00938831852786926,"score_gpt":0.1983548693229689,"score_spread":0.1889665507950997,"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."}}