{"id":"W4390597010","doi":"10.12841/wood.1644-3985.405.05","title":"UTILIZATION OF PEELER CORES FOR PRODUCING BEAMS WITH HOLLOW CROSS - SECTION","year":2022,"lang":"en","type":"article","venue":"Drewno Prace Naukowe Doniesienia Komunikaty = Wood Research Papers Reports Announcements","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Section (typography); Cross section (physics); Materials science; Forensic engineering; Composite material; Polymer science; Engineering; Computer science; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002406355,0.0003062784,0.0001301817,0.0003322645,0.00009996891,0.0001786716,0.0001564829,0.0001486221,0.001307983],"category_scores_gemma":[0.0002062572,0.0001241973,0.0001770928,0.0001825258,0.0001445523,0.0003663021,0.0002151489,0.0002083598,0.0005352438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008149569,"about_ca_system_score_gemma":0.0001477029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001030821,"about_ca_topic_score_gemma":0.0007518761,"domain_scores_codex":[0.9999154,0.00001172719,0.000006251389,0.00001872464,0.00003193093,0.00001605512],"domain_scores_gemma":[0.9998443,0.00003667394,0.00005048774,0.00002273528,0.00003009986,0.00001559234],"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":[0.00006665575,0.00002851738,0.000684977,0.0001539719,0.000006706411,0.000166168,0.00005055817,0.0004747311,0.9760691,0.001141898,0.000125749,0.02103089],"study_design_scores_gemma":[0.000006008792,0.0003364974,0.002692675,0.00001981404,0.000009932839,0.0003961847,0.0000405916,0.0009985376,0.9874176,0.0001541917,0.007917848,0.00001009965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8759105,0.001949023,0.107917,0.00004724632,0.00008152478,0.0000952695,0.0001721476,0.0003050285,0.01352228],"genre_scores_gemma":[0.913092,0.0006603467,0.08229896,0.00003999882,0.000009350353,0.00004103372,0.0001788448,0.00006508463,0.003614358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001307983,"threshold_uncertainty_score":0.004375696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05598167029231763,"score_gpt":0.3320559206121483,"score_spread":0.2760742503198306,"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."}}