{"id":"W2405817265","doi":"10.1021/acsami.5b04654","title":"Evaluation of Wear Resistance of Friction Materials Prepared by Granulation","year":2015,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Brake Systems and Friction Analysis","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Program for New Century Excellent Talents in University; Natural Sciences and Engineering Research Council of Canada; People's Government of Jilin Province; Ministry of Science and Technology of the People's Republic of China; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China; Natural Science Foundation of Jilin Province","keywords":"Materials science; Pellets; Granulation; Scanning electron microscope; Tribology; Composite material; Surface roughness; Surface finish; Friction coefficient; Pressing","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":[0.0004416986,0.00037855,0.0004789321,0.0007010782,0.0001906393,0.0002830175,0.0002479637,0.0004207326,0.001026184],"category_scores_gemma":[0.001137095,0.00022925,0.0003609641,0.0004942215,0.0002485849,0.0002791287,0.0002166504,0.0003199497,0.0002030499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297707,"about_ca_system_score_gemma":0.00007029226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003642482,"about_ca_topic_score_gemma":0.0005608914,"domain_scores_codex":[0.999655,0.00003528861,0.00004637584,0.00006809257,0.0001441647,0.00005105912],"domain_scores_gemma":[0.9993024,0.0002142819,0.0001879567,0.0001095695,0.0001448292,0.00004086978],"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":[0.0001873691,0.00002087353,0.0004322841,0.00008632801,0.000009979334,0.00007907916,0.00005357749,0.0001123602,0.9963965,0.00002460634,0.00001769768,0.002579509],"study_design_scores_gemma":[0.00001554907,0.000785974,0.01360392,0.00001167856,0.00004653556,0.0002535744,0.00006672685,0.0009344142,0.9833006,0.00001884707,0.0009500713,0.00001216766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958853,0.001051154,0.002373704,0.00001487277,0.00002326527,0.00003105956,0.0001226815,0.00005787993,0.0004399397],"genre_scores_gemma":[0.9958701,0.0003466405,0.002986616,0.0000167449,0.000006662311,0.00002710244,0.0001707404,0.00002853002,0.0005467791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001026184,"threshold_uncertainty_score":0.00343293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02607816301994723,"score_gpt":0.2441243898252395,"score_spread":0.2180462268052923,"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."}}