{"id":"W4312052228","doi":"10.1016/j.susmat.2022.e00552","title":"Environmentally friendly bonded MoS2 solid film lubricants for aerospace applications: Closing the gap","year":2022,"lang":"en","type":"article","venue":"Sustainable materials and technologies","topic":"Tribology and Wear Analysis","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Dry lubricant; Lubricant; Tribometer; Tribology; Materials science; Composite material; Fourier transform infrared spectroscopy; Scanning electron microscope; Solvent; Environmentally friendly; Lubrication; Chemical engineering; Organic chemistry; Chemistry","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":[0.0006537638,0.0004333689,0.0003962589,0.0002357655,0.0003189569,0.001106459,0.0005888299,0.0008904175,0.00404614],"category_scores_gemma":[0.0005876516,0.0001727892,0.0001580778,0.0002383914,0.0006050155,0.002630891,0.001212054,0.0007994461,0.0009118319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002666397,"about_ca_system_score_gemma":0.000524148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004545953,"about_ca_topic_score_gemma":0.001614572,"domain_scores_codex":[0.999554,0.00006366907,0.00001830468,0.00005379327,0.0002500631,0.00006013906],"domain_scores_gemma":[0.9995171,0.0001780727,0.00005719045,0.0000440613,0.0001724699,0.00003121691],"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":[0.000513453,0.0002423892,0.0009826041,0.003617763,0.00008529318,0.0004803034,0.000507824,0.001915294,0.6695959,0.05031458,0.009766343,0.2619783],"study_design_scores_gemma":[0.00002566332,0.0009622508,0.002026911,0.0003020962,0.00006373104,0.0004394354,0.001003415,0.003977823,0.6035034,0.01267067,0.3749834,0.00004115837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5310354,0.3514211,0.03372262,0.01143468,0.001765316,0.00007271556,0.0004597148,0.0005027571,0.06958577],"genre_scores_gemma":[0.8485466,0.1153887,0.01229258,0.001527021,0.0008558184,0.00003996238,0.0002305658,0.0001622488,0.02095651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00404614,"threshold_uncertainty_score":0.01353568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004997717894363696,"score_gpt":0.207221301902924,"score_spread":0.2022235840085602,"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."}}