{"id":"W4403335665","doi":"10.1115/1.4066844","title":"Environmentally Friendly MoS2-hBN Solid Lubricants: A Comprehensive Tribological Evaluation","year":2024,"lang":"en","type":"article","venue":"Journal of Tribology","topic":"Tribology and Wear Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Environmentally friendly; Tribology; Dry lubricant; Materials science; Nanotechnology; Biochemical engineering; Metallurgy; Engineering","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":[0.000566832,0.000177962,0.0005004716,0.0003494438,0.00005135109,0.00002682864,0.0002149489,0.0002416877,0.0009030241],"category_scores_gemma":[0.000083707,0.0001435943,0.0002955503,0.0002597005,0.0001326442,0.0001681334,0.00003347249,0.0005665686,0.0001363144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00018667,"about_ca_system_score_gemma":0.00006368366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002355964,"about_ca_topic_score_gemma":0.000002556622,"domain_scores_codex":[0.9983987,0.0002207767,0.000621927,0.0001682047,0.000302424,0.000288024],"domain_scores_gemma":[0.9992182,0.0003390127,0.0001065239,0.0001425946,0.00008586288,0.0001078662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007239255,0.0005980777,0.004744915,0.000217205,0.006993067,0.003352451,0.001350987,0.261703,0.3954046,0.002478838,0.1386776,0.1837554],"study_design_scores_gemma":[0.009251117,0.004649087,0.05925326,0.0003035002,0.005271726,0.0153121,0.001646391,0.4419844,0.04594534,0.01920055,0.3953471,0.001835482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619098,0.01480451,0.01863852,0.00144358,0.00188539,0.0001671167,0.00003045003,0.0001172562,0.001003429],"genre_scores_gemma":[0.9979349,0.0008393131,0.0007074205,0.0001393828,0.0002892417,0.000004205597,0.00001408746,0.0000208178,0.00005057899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3494592,"threshold_uncertainty_score":0.9887481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695534503881308,"score_gpt":0.2846859548074575,"score_spread":0.2677306097686444,"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."}}