{"id":"W3182430568","doi":"10.1016/j.powtec.2021.07.026","title":"Effect of particle size distribution on the flowability of plasma atomized Ti-6Al-4V powders","year":2021,"lang":"en","type":"article","venue":"Powder Technology","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Particle size; Particle-size distribution; Rheology; Particle (ecology); Composite material; Metal powder; Metal; Metallurgy; Chemical 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":[0.0004812621,0.0002084635,0.0002316403,0.000257909,0.0002861829,0.0004473543,0.0002523987,0.0003130551,0.001747777],"category_scores_gemma":[0.001233071,0.0002117644,0.0002438875,0.0001986475,0.0002414707,0.0004695311,0.0001549088,0.000354907,0.0002164972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003256062,"about_ca_system_score_gemma":0.0002297235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155239,"about_ca_topic_score_gemma":0.0009897886,"domain_scores_codex":[0.9997259,0.0000345523,0.00002426499,0.00008176661,0.00007858859,0.00005496507],"domain_scores_gemma":[0.9993324,0.0003882688,0.0001069586,0.00004347163,0.0000972133,0.0000316156],"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":[0.000926518,0.00005697419,0.0009731184,0.00005133566,0.00001391392,0.00006563996,0.00008974829,0.0007639299,0.9917572,0.0001219455,0.0000848057,0.00509487],"study_design_scores_gemma":[0.00002131494,0.0004079868,0.00471216,0.000002760246,0.00001412116,0.00003509779,0.00003490305,0.002509411,0.9918976,0.00002656449,0.0003308605,0.000007259094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974323,0.0003418449,0.001291703,0.00004981283,0.00001964502,0.00001025015,0.0001164337,0.00004973688,0.0006882973],"genre_scores_gemma":[0.9987631,0.000118605,0.000542873,0.00001812821,0.000008741069,0.000008795809,0.0001068854,0.00002322214,0.0004097525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001747777,"threshold_uncertainty_score":0.005846918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004691917480637933,"score_gpt":0.2066430953527731,"score_spread":0.2019511778721351,"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."}}