{"id":"W4388015285","doi":"10.4271/2023-01-1652","title":"Supporting the Transportation Industry: Creating the GC-LB and High-Performance Multiuse (HPM) Grease Certification Programs","year":2023,"lang":"en","type":"article","venue":"SAE International Journal of Advances and Current Practices in Mobility","topic":"Safety Systems Engineering in Autonomy","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lanxess (Canada)","funders":"","keywords":"Grease; Certification; Automotive industry; Class (philosophy); Computer science; Quality (philosophy); Manufacturing engineering; Engineering; Materials science; Management; Artificial intelligence; Composite material; 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":[0.01198493,0.0004652499,0.0001371583,0.002225002,0.001879127,0.004705214,0.002220978,0.003268774,0.008097536],"category_scores_gemma":[0.01114878,0.0003873267,0.0003423414,0.001191184,0.002023265,0.006615243,0.005354492,0.004457181,0.004872873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006012229,"about_ca_system_score_gemma":0.03554898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01849272,"about_ca_topic_score_gemma":0.02415883,"domain_scores_codex":[0.9946015,0.001139022,0.0001877814,0.0004041326,0.002614959,0.001052556],"domain_scores_gemma":[0.9814914,0.001341807,0.001249938,0.001059404,0.01035734,0.004500036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006666165,0.001136456,0.009951047,0.0004031188,0.00000937814,0.0005576766,0.002215368,0.003304031,0.0118083,0.1108047,0.2105009,0.6492423],"study_design_scores_gemma":[0.00002726719,0.0002823584,0.005121849,0.0004426591,0.000006183081,0.0002552711,0.002144563,0.002982013,0.005788935,0.006097788,0.9768038,0.00004737508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08289022,0.009349278,0.238022,0.2454949,0.007386111,0.002507408,0.0006513547,0.006524137,0.4071746],"genre_scores_gemma":[0.386753,0.01193444,0.3550742,0.03852877,0.001730166,0.00101596,0.002967337,0.001100642,0.2008954],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01849272,"threshold_uncertainty_score":0.0633831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03013904336560311,"score_gpt":0.3358732703589754,"score_spread":0.3057342269933722,"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."}}