{"id":"W4391877669","doi":"10.1038/s41467-024-45731-z","title":"Continuous synthesis of high-entropy alloy nanoparticles by in-flight alloying of elemental metals","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Toronto; University of Ottawa","funders":"National Research Council Canada; University of Toronto; Government of Canada","keywords":"Materials science; Alloy; Nanoparticle; Fabrication; Thermal decomposition; Photothermal therapy; Chemical engineering; Plasma; Metal; Nanotechnology; Metallurgy; 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":[0.00006844708,0.0001511889,0.0001090958,0.00007945511,0.00009758746,0.0001553348,0.0001599487,0.0001637595,0.0006222717],"category_scores_gemma":[0.00009770925,0.0001037305,0.0001230273,0.00005021579,0.0001600308,0.0001671724,0.0001416632,0.000166051,0.0001442147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002067804,"about_ca_system_score_gemma":0.00009195057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005381095,"about_ca_topic_score_gemma":0.001151914,"domain_scores_codex":[0.9999658,0.000003015968,0.000001669497,0.000009109996,0.00001360831,0.000006844853],"domain_scores_gemma":[0.9999647,0.000008644573,0.00001029805,0.000005759872,0.0000055142,0.000005134342],"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":[0.00001674365,0.000007197425,0.000076342,0.0000279442,0.000002627678,0.00002663692,0.00001919396,0.0003146153,0.997735,0.0002019139,0.00006733606,0.001504446],"study_design_scores_gemma":[0.0000043615,0.00004069045,0.0003029517,0.000001241804,0.000002027321,0.00002683825,0.000005935596,0.003909149,0.9946671,0.00003746296,0.001000123,0.000002148947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858722,0.0002971692,0.01102084,0.00005143222,0.00002983296,0.00001680931,0.0000794575,0.0001079123,0.00252441],"genre_scores_gemma":[0.9928318,0.0001068687,0.005867424,0.000009887341,0.000004717335,0.000007852816,0.00004179545,0.00002251893,0.001107068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006222717,"threshold_uncertainty_score":0.002081692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00810323592385806,"score_gpt":0.2495607153593765,"score_spread":0.2414574794355185,"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."}}