{"id":"W1099261305","doi":"10.20381/ruor-7457","title":"Study of surface flattening kinetics by low-energy electron diffraction on rutile(110).","year":2000,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rutile; Flattening; Low-energy electron diffraction; Kinetics; Electron diffraction; Electron; Materials science; Diffraction; Reflection high-energy electron diffraction; Crystallography; Chemical physics; Physics; Chemistry; Chemical engineering; Optics; Composite material; Nuclear physics; Engineering; Classical mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001038618,0.0001291217,0.0001970243,0.0001659701,0.0001386552,0.0002115952,0.0002073298,0.0001654359,0.001548443],"category_scores_gemma":[0.0002213957,0.0001113763,0.0001144622,0.0001688582,0.0001092326,0.0002298705,0.00008400549,0.000276478,0.0003123549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001488419,"about_ca_system_score_gemma":0.00007177349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001410804,"about_ca_topic_score_gemma":0.001655291,"domain_scores_codex":[0.9999316,0.000004861868,0.000001653797,0.0000102158,0.00003515473,0.00001647865],"domain_scores_gemma":[0.9998863,0.00005043875,0.00001740401,0.0000114184,0.00002805366,0.000006494427],"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":[0.00004142891,0.00001505794,0.0009069169,0.00006172565,0.00000663838,0.00006679413,0.00007371309,0.0003761019,0.9941655,0.0001224428,0.00008844111,0.00407503],"study_design_scores_gemma":[0.000004890767,0.0001288983,0.009225957,0.000004512052,0.000007756437,0.0001533026,0.00009650487,0.003965192,0.9846086,0.00005725195,0.001739566,0.000007519955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946524,0.001239743,0.002535791,0.00003337869,0.00000936687,0.000009217799,0.0001130594,0.0000411638,0.001365883],"genre_scores_gemma":[0.9938023,0.001024905,0.002910914,0.00001605401,0.000003928064,0.000006900439,0.0002267041,0.00001717219,0.001991169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001548443,"threshold_uncertainty_score":0.005180061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002117370829086721,"score_gpt":0.137684680447959,"score_spread":0.1355673096188722,"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."}}