{"id":"W2753493655","doi":"10.3390/coatings7090135","title":"Microstructure and Mechanism of Grain Raising in Wood","year":2017,"lang":"en","type":"article","venue":"Coatings","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Raising (metalworking); Microstructure; Materials science; Wetting; Abrasive; Composite material; Grain size; Metallurgy","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":[0.00003796014,0.00005452638,0.00008298329,0.00002284347,0.00004977574,0.00003195055,0.00005644967,0.0000315793,0.000006179177],"category_scores_gemma":[0.00002147796,0.00004682093,0.00001040193,0.00001146024,0.00002421283,0.000071075,0.00002398971,0.00004275749,0.000001028351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005739906,"about_ca_system_score_gemma":0.000002162833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004671441,"about_ca_topic_score_gemma":0.00002962996,"domain_scores_codex":[0.9997793,0.000003187125,0.0000673762,0.00005070996,0.00002772694,0.00007173724],"domain_scores_gemma":[0.999849,0.000007542103,0.00002322298,0.0001017612,0.000006110558,0.00001233068],"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":[0.00001080751,0.000008356586,0.01846264,0.0002160293,0.00002478376,0.00001060703,0.006673854,0.00003559346,0.9489537,0.002877326,0.0002241645,0.02250212],"study_design_scores_gemma":[0.001319919,0.00006717048,0.04182662,0.0002680106,0.00001922647,0.00001141824,0.0002391109,0.00143101,0.9364196,0.01760472,0.0005282854,0.0002648756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973111,0.0003688622,0.0000618282,0.00004910124,0.0000755657,0.00004553666,0.00000255679,0.0000239365,0.002061547],"genre_scores_gemma":[0.9992997,0.00001883993,0.0005743861,0.000006140817,0.00001313546,0.000001852869,9.688921e-7,0.000008561886,0.00007642941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02336398,"threshold_uncertainty_score":0.1909302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01431491966700802,"score_gpt":0.2149394623587926,"score_spread":0.2006245426917846,"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."}}