{"id":"W4205111070","doi":"10.3390/mi13010070","title":"An Experimental Study of Micro-Dimpled Texture in Friction Control under Dry and Lubricated Conditions","year":2021,"lang":"en","type":"article","venue":"Micromachines","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"VINNOVA","keywords":"Dimple; Materials science; Reciprocating motion; Lubrication; Texture (cosmology); Surface finish; Composite material; Reduction (mathematics); Coefficient of friction; Metallurgy; Computer science; Artificial intelligence; Mathematics; Bearing (navigation); Image (mathematics)","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":[0.00004506122,0.0001054371,0.0001670867,0.0001056964,0.00004053034,0.00001068239,0.00005005112,0.00006383489,0.00004244373],"category_scores_gemma":[0.000005683558,0.0001117792,0.00001771282,0.0002011223,0.00001817281,0.00008981857,0.000009708941,0.000112066,0.000001937983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000247457,"about_ca_system_score_gemma":0.000006983411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004174958,"about_ca_topic_score_gemma":0.0001077493,"domain_scores_codex":[0.9994743,0.00004409645,0.00018614,0.000140413,0.00003724056,0.00011781],"domain_scores_gemma":[0.9997529,0.00003475371,0.0000204512,0.0001335084,0.00002344624,0.00003496358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000006387684,0.0003513686,0.03879612,0.00001111181,0.00003981195,0.000007058106,0.000920566,0.01742864,0.9422885,0.00004936685,0.00003509276,0.00006596472],"study_design_scores_gemma":[0.002625268,0.0001117998,0.8100536,0.00001198452,0.00003150466,0.00003477699,0.002420927,0.02034702,0.1640461,0.0000428465,0.00007164229,0.0002025866],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961665,0.001348896,0.002043463,0.00002481091,0.00009547612,0.00014023,0.0000231959,0.0001121952,0.00004524732],"genre_scores_gemma":[0.9996631,0.000009508172,0.0001809964,0.00002352954,0.00002028415,0.00002474251,0.00005036427,0.00001635136,0.00001109667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7782425,"threshold_uncertainty_score":0.4558222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006296090042704672,"score_gpt":0.2470574777970342,"score_spread":0.2407613877543295,"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."}}