{"id":"W2004011079","doi":"10.1016/j.matchemphys.2014.09.057","title":"Synthesis of WC–Ni composite powders by thermochemical processing method based on co-precipitation","year":2014,"lang":"en","type":"article","venue":"Materials Chemistry and Physics","topic":"Advanced materials and composites","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Composite number; Materials science; Precipitation; Coprecipitation; Chemical engineering; Metallurgy; Composite material; Meteorology; Engineering; Physics","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":[0.00009240087,0.0002559932,0.0003495319,0.0003342126,0.0003577736,0.0002356914,0.0002754117,0.000230095,0.001367996],"category_scores_gemma":[0.0001181497,0.0002054057,0.0001878811,0.0003539731,0.0001155069,0.0002421308,0.0001487226,0.0004803691,0.000421905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000240276,"about_ca_system_score_gemma":0.0002967516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008966696,"about_ca_topic_score_gemma":0.003580107,"domain_scores_codex":[0.9998655,0.000004868762,0.00001269885,0.00004488877,0.00005575033,0.00001617463],"domain_scores_gemma":[0.9999548,0.000004935764,0.000008546977,0.000009710114,0.0000164655,0.000005527593],"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":[0.00003258397,0.0000162234,0.00009574403,0.00009622562,0.00000375079,0.0000388292,0.0000120082,0.00008220918,0.9958892,0.0001905064,0.0001147241,0.003428028],"study_design_scores_gemma":[0.000005555199,0.00003741638,0.0009028108,0.000002446072,0.000006645304,0.00007202064,0.0000082693,0.0009895522,0.9949387,0.00002378586,0.003009394,0.000003276117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9295826,0.002225524,0.04409323,0.0001931514,0.0003155817,0.0003229038,0.0009945073,0.0008276263,0.02144489],"genre_scores_gemma":[0.9541979,0.000707987,0.03639338,0.00003546206,0.00002542035,0.0001501556,0.0006029513,0.0000874633,0.007799244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001367996,"threshold_uncertainty_score":0.004576385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004886117148140855,"score_gpt":0.2270280195851007,"score_spread":0.2221419024369599,"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."}}