{"id":"W7132389181","doi":"","title":"High performance lubricant for high density applications and warm die compaction","year":2020,"lang":"en","type":"article","venue":"NPARC","topic":"Powder Metallurgy Techniques and Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lubricant; Lubricity; Compaction; Die (integrated circuit); Wax; Pressing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002591419,0.0002635753,0.0003180111,0.0005386588,0.0001959559,0.0004212858,0.0002539507,0.000297521,0.00121181],"category_scores_gemma":[0.0003454017,0.0001734069,0.0002498857,0.0004176706,0.00028664,0.00055247,0.0003025655,0.0002971055,0.0005194786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002073583,"about_ca_system_score_gemma":0.0001356677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002530661,"about_ca_topic_score_gemma":0.0006325201,"domain_scores_codex":[0.9996924,0.00002914396,0.00002012941,0.00003316647,0.0001925231,0.00003272023],"domain_scores_gemma":[0.9998265,0.00003055638,0.0000693371,0.00001853133,0.00004047055,0.0000145582],"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":[0.0001044351,0.00001394402,0.0006075177,0.000251726,0.00001092228,0.0002028238,0.0000642622,0.000325735,0.9813835,0.0008726111,0.0002585748,0.01590402],"study_design_scores_gemma":[0.000006997673,0.000291397,0.003157091,0.00001706368,0.00001970235,0.0005858857,0.00004119744,0.001078028,0.9820746,0.0001172068,0.0125997,0.00001116058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9160213,0.01723973,0.05692077,0.000178663,0.0001711986,0.00006266148,0.0001890923,0.0005130869,0.00870357],"genre_scores_gemma":[0.9791371,0.001857488,0.01446506,0.00003046301,0.00002671425,0.00001452653,0.0001162532,0.00005703194,0.00429537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00121181,"threshold_uncertainty_score":0.00405395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586156291653209,"score_gpt":0.215103564493487,"score_spread":0.1992420015769549,"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."}}