{"id":"W3103715598","doi":"10.1002/adem.202001116","title":"Fast and High‐Throughput Synthesis of Medium‐ and High‐Entropy Alloys Using Radio Frequency Inductively Coupled Plasma","year":2020,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Toronto","funders":"","keywords":"Materials science; High entropy alloys; Inductively coupled plasma; Throughput; Radio frequency; Fabrication; Alloy; Plasma; Nanotechnology; Computer science; Metallurgy; Telecommunications","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":[0.0003131187,0.0005210929,0.000283737,0.0004223221,0.0002665577,0.0003400187,0.0003341932,0.0003062011,0.00102371],"category_scores_gemma":[0.0002637822,0.0002540861,0.0002552769,0.0002101226,0.0002453905,0.0004747307,0.0004369361,0.0005699777,0.0007746979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000218828,"about_ca_system_score_gemma":0.0002703979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000278551,"about_ca_topic_score_gemma":0.001242491,"domain_scores_codex":[0.9998214,0.00001600713,0.0000120644,0.00004362084,0.0000938084,0.00001323297],"domain_scores_gemma":[0.9998978,0.00002831574,0.00001840213,0.00001953209,0.00002729119,0.000008661331],"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":[0.00001349058,0.00001133175,0.0001050191,0.00009591098,0.000006114386,0.00004654542,0.00003844425,0.0002035055,0.988353,0.0008083847,0.0002965914,0.01002163],"study_design_scores_gemma":[0.000006091615,0.00009955733,0.000353758,0.000004857567,0.000006428827,0.0001091116,0.00002783239,0.002089781,0.9894542,0.0003368323,0.00750338,0.000008096257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5431184,0.005891998,0.4202249,0.0003775619,0.0004208699,0.0005312937,0.001274079,0.002190046,0.02597079],"genre_scores_gemma":[0.720614,0.002849269,0.2681616,0.00008819585,0.00008229589,0.000237622,0.0007198229,0.0002195704,0.007027695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00102371,"threshold_uncertainty_score":0.003424644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009559821602970708,"score_gpt":0.1967323771408887,"score_spread":0.187172555537918,"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."}}