{"id":"W2022522159","doi":"10.1007/s12541-013-0221-9","title":"Fabrication of micro-dimpled surfaces through micro ball end milling","year":2013,"lang":"en","type":"article","venue":"International Journal of Precision Engineering and Manufacturing","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Dimple; Machining; Materials science; Mechanical engineering; Tribology; Ball (mathematics); Fabrication; Nanotechnology; Engineering drawing; Composite material; Engineering; Metallurgy; Geometry","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":[0.0001945634,0.0001706383,0.0002500052,0.0002847693,0.00002322033,0.00004712392,0.0002981498,0.00009468616,0.00009209171],"category_scores_gemma":[0.00008344546,0.0001620192,0.00008924564,0.00005972862,0.00002159484,0.0004910632,0.00004517688,0.0002420091,0.000007657851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000599468,"about_ca_system_score_gemma":0.00001011725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000164321,"about_ca_topic_score_gemma":4.159064e-7,"domain_scores_codex":[0.9988587,0.00001231241,0.000594286,0.0001165402,0.0002498887,0.0001682221],"domain_scores_gemma":[0.9992189,0.0002171126,0.000165379,0.000112507,0.0002154777,0.0000705776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001162113,0.00001809038,0.0003173751,0.00005308421,0.000192153,0.000004972809,0.0003999374,0.5839801,0.3999443,0.00005579727,0.0003044704,0.01471809],"study_design_scores_gemma":[0.0007278583,0.00004941256,0.03538138,0.0002535482,0.00003270672,0.000192079,0.00009279396,0.05086267,0.9033253,0.0003632174,0.008434552,0.0002844915],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.861838,0.001614046,0.1350522,0.00008744176,0.001162379,0.0000807759,0.000006297464,0.00006510645,0.00009384467],"genre_scores_gemma":[0.9761878,0.0007740536,0.02278576,0.00001329014,0.0001798206,0.000004299752,0.000004931733,0.0000265456,0.00002344944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5331174,"threshold_uncertainty_score":0.6606953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008518506240992485,"score_gpt":0.2219522935601462,"score_spread":0.2134337873191537,"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."}}