{"id":"W1988246725","doi":"10.1023/b:tril.0000032451.97552.3d","title":"Chemomechanical Properties of Antiwear Films Using X-ray Absorption Microscopy and Nanoindentation Techniques","year":2004,"lang":"en","type":"article","venue":"Tribology Letters","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Division of Materials Research; Natural Sciences and Engineering Research Council of Canada; General Motors of Canada; National Science Foundation","keywords":"Nanoindentation; Materials science; Nanoindenter; XANES; Indentation; Nanoscopic scale; X-ray photoelectron spectroscopy; Tribology; Absorption (acoustics); Crystallography; Composite material; Analytical Chemistry (journal); Chemical engineering; Nanotechnology; Spectroscopy; Organic chemistry; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001675498,0.0002257398,0.0001759226,0.0003846806,0.0002761316,0.0003344628,0.0004096582,0.0003596226,0.001164216],"category_scores_gemma":[0.0003523219,0.0002779271,0.0001328062,0.0002626081,0.0002647081,0.0004501881,0.0001685564,0.0004300087,0.0002002757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002620506,"about_ca_system_score_gemma":0.0001089242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008740778,"about_ca_topic_score_gemma":0.001643199,"domain_scores_codex":[0.9998067,0.00001233066,0.00001338149,0.00003147255,0.0001092557,0.00002682932],"domain_scores_gemma":[0.9996608,0.0001064352,0.00008322437,0.00003883115,0.00008681674,0.00002388237],"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":[0.00001541514,0.000008550668,0.0001303937,0.000009829498,0.000001695704,0.00001647982,0.00002303874,0.00004244981,0.9989936,0.00002861695,0.00002779777,0.0007021581],"study_design_scores_gemma":[0.000003364644,0.00004221455,0.005206082,0.000001575782,0.000004343414,0.00004015008,0.00002466663,0.001618077,0.9927638,0.00001767243,0.0002737581,0.000004261879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968425,0.0004646576,0.001613228,0.00005912886,0.00001825703,0.000009221179,0.0001330572,0.00005138934,0.0008085581],"genre_scores_gemma":[0.995649,0.0003116156,0.002439249,0.00003160816,0.00001405362,0.00001852221,0.0001387165,0.00001978071,0.00137747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001164216,"threshold_uncertainty_score":0.003894746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843853838017677,"score_gpt":0.2275787220305102,"score_spread":0.2091401836503335,"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."}}