{"id":"W2173769990","doi":"","title":"EFFECT OF KNIFE WEAR ON SURFACE QUALITY OF BLACK SPRUCE CANTS PRODUCED BY A CHIPPER-CANTER","year":2015,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Division of Materials Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Waviness; Enhanced Data Rates for GSM Evolution; Surface finish; Surface roughness; Die (integrated circuit); Materials science; Composite material; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002099382,0.0001368739,0.0002675356,0.000173329,0.00009670576,0.00002479478,0.0004502527,0.00008253897,0.000003458229],"category_scores_gemma":[0.0001586691,0.0001084536,0.00003225346,0.002206389,0.003985213,0.0002603434,0.0001920986,0.00009464612,0.000002444281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003754225,"about_ca_system_score_gemma":0.0001011453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002892501,"about_ca_topic_score_gemma":0.000004846993,"domain_scores_codex":[0.9984449,0.00001327489,0.0002578462,0.0003706917,0.0006096715,0.0003036367],"domain_scores_gemma":[0.9992397,0.00002113625,0.0001030448,0.0003290834,0.0001960632,0.0001109262],"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":[0.00001944855,0.00008114315,0.007751406,0.0003812395,0.00002072637,2.68409e-7,0.001224586,0.0001119552,0.9787704,0.001302786,0.001748799,0.008587238],"study_design_scores_gemma":[0.0006591785,0.0006994699,0.001367952,0.00008672204,0.00001073448,0.000001301996,0.000823342,0.004219331,0.9911694,0.00009180978,0.0007030082,0.0001677588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981983,0.0001799408,0.00004140029,0.0003242333,0.00006874823,0.0002374022,0.0000107838,0.0000684613,0.0008707098],"genre_scores_gemma":[0.9992294,0.00009384597,0.0005677383,0.00002289318,0.000003270729,0.000002729801,4.38969e-7,0.000005431125,0.00007420886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01239899,"threshold_uncertainty_score":0.9987254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216924854338158,"score_gpt":0.2547315108147578,"score_spread":0.2425622622713762,"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."}}