{"id":"W3092196355","doi":"10.15376/biores.15.4.8813-8832","title":"Strength grading of northern hardwood species for structural engineered wood products: Identification of the relevant indicating properties","year":2020,"lang":"en","type":"article","venue":"BioResources","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Hardwood; Softwood; Ultimate tensile strength; Yellow birch; Grading (engineering); Materials science; Young's modulus; Composite material; Pulp and paper industry; Mathematics; Botany; Biology; Engineering; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006241358,0.0001377226,0.0001856837,0.00004036648,0.00007212145,0.00002595588,0.0002325491,0.00003733564,0.000002918634],"category_scores_gemma":[0.0001455756,0.0000838285,0.00007472172,0.0001629319,0.00008096122,0.00007816547,0.00003115297,0.0000611033,0.00000115991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001730448,"about_ca_system_score_gemma":0.00001323345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009091808,"about_ca_topic_score_gemma":0.000007402754,"domain_scores_codex":[0.9992065,0.00001802606,0.0003450618,0.0001375879,0.0001566696,0.0001361973],"domain_scores_gemma":[0.9995718,0.00002780701,0.0001363319,0.0001814225,0.00005693842,0.00002570027],"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":[0.00004574904,0.00001840313,0.01221147,0.001174278,0.0002356255,1.577085e-7,0.01859597,0.00311183,0.9612395,0.00008706668,0.0001213697,0.003158548],"study_design_scores_gemma":[0.0002246568,0.00006273725,0.01097529,0.00006516271,0.00005823806,5.157943e-7,0.001147428,0.005726816,0.98067,0.00001762859,0.0009394095,0.0001121553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968117,0.002129203,0.00002188252,0.000317779,0.0001044586,0.0004030086,0.00007457392,0.0000942905,0.00004306666],"genre_scores_gemma":[0.9994351,0.00002341274,0.0002905323,0.00000405523,0.000128069,0.00002811682,0.00001296146,0.00002667752,0.00005104806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01943043,"threshold_uncertainty_score":0.3418427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02414203782379423,"score_gpt":0.1822145733890582,"score_spread":0.158072535565264,"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."}}