{"id":"W2575279423","doi":"10.1007/s12598-016-0841-1","title":"Preparation of highly dispersed superfine W–20 wt% Cu composite powder with excellent sintering property by highly concentrated wet ball‐milled process","year":2017,"lang":"en","type":"article","venue":"Rare Metals","topic":"Advanced materials and composites","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Materials science; Ball mill; Sintering; Transmission electron microscopy; High-resolution transmission electron microscopy; Composite number; Scanning electron microscope; Particle size; Nanometre; Chemical engineering; Composite material; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007841257,0.0002947286,0.0005082034,0.00003587436,0.0001627465,0.0001579703,0.0003057791,0.00006988069,0.0001065686],"category_scores_gemma":[0.00001291437,0.0001941376,0.00005690277,0.00006113595,0.00008838884,0.0004791254,0.00005229046,0.00007999971,0.00001215749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004052647,"about_ca_system_score_gemma":0.00001969544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004285371,"about_ca_topic_score_gemma":0.00002073614,"domain_scores_codex":[0.9987765,0.00003294399,0.0003898201,0.0002909985,0.0002209363,0.0002887864],"domain_scores_gemma":[0.9991416,0.00001886797,0.0001612276,0.0004476421,0.0001399795,0.00009065276],"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":[0.0002612,0.00006784889,0.0003680181,0.0002842212,0.0001502507,0.000009370979,0.0003129589,0.00773462,0.9903153,0.00003371537,0.000279908,0.0001825967],"study_design_scores_gemma":[0.001325095,0.0002069244,0.0004100586,0.0002597286,0.00008183191,0.000009528704,0.0000633203,0.01043964,0.9833353,0.00001886726,0.003480962,0.0003687073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941671,0.0005438413,0.002275423,0.0001061861,0.0002287256,0.000548778,0.0001083827,0.0002113284,0.001810246],"genre_scores_gemma":[0.9981318,0.00008171602,0.0008871513,0.00001614991,0.00005120526,0.00006038679,0.0001357645,0.00005518242,0.000580618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006979958,"threshold_uncertainty_score":0.7916703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009206310136295076,"score_gpt":0.2443213224459327,"score_spread":0.2351150123096377,"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."}}