{"id":"W4385811467","doi":"10.3390/met13081460","title":"Enhancing the Tribological Performance of Tool Steels for Wood-Processing Applications: A Comprehensive Review","year":2023,"lang":"en","type":"review","venue":"Metals","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; DK-SPEC (Canada); Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Tool wear; Rake angle; Process engineering; Mechanical engineering; Tribology; Characterization (materials science); Materials science; Computer science; Engineering; Nanotechnology","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":[],"consensus_categories":[],"category_scores_codex":[0.002042941,0.0003146651,0.002127846,0.00005901377,0.0001982854,0.00006188941,0.0007141148,0.0001263627,0.0001478704],"category_scores_gemma":[0.0003025885,0.0001536198,0.0005278713,0.0004048764,0.0001493244,0.0001170733,0.0001829183,0.0001637184,0.0005111714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002446286,"about_ca_system_score_gemma":0.0001722784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002282168,"about_ca_topic_score_gemma":6.606988e-7,"domain_scores_codex":[0.9974033,0.0003527416,0.001250797,0.0004056751,0.0003002014,0.0002872686],"domain_scores_gemma":[0.9976645,0.0007953663,0.0007845145,0.0005122303,0.0002094664,0.00003393182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006383101,0.00001526114,2.403232e-8,0.2861621,0.00005834175,2.393912e-7,0.00003356635,0.000001999909,0.001536228,0.0001158886,0.0002933879,0.7117766],"study_design_scores_gemma":[0.00004997949,0.00005819683,1.985211e-7,0.03025287,0.0008795641,0.00001024818,0.00001350272,0.000008246665,0.003123892,0.00004991213,0.9653521,0.0002013125],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001306024,0.9953187,0.0006637061,0.00003878287,0.0001215654,0.003501473,0.00008915715,0.00006627831,0.0000697919],"genre_scores_gemma":[0.00002245759,0.9938256,0.001172911,0.0001750215,0.0001631373,0.003447764,0.00003776393,0.00003825228,0.001117107],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9650587,"threshold_uncertainty_score":0.6570244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2015187883498825,"score_gpt":0.3830349092105023,"score_spread":0.1815161208606198,"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."}}