{"id":"W4239243673","doi":"10.1002/div.3283","title":"Universal Forest Products Inc.","year":2005,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineered wood; Truss; Fence (mathematics); Solid wood; Engineering; Business; Civil engineering; Materials science; Composite material; Structural engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001552527,0.0001607161,0.0001006146,0.0000562935,0.0001498777,0.0000269082,0.0003525871,0.0000377763,0.01273209],"category_scores_gemma":[0.00002417086,0.000143962,0.00005009474,0.000282516,0.0001280608,0.0004837526,0.0003341195,0.00009827848,0.01651764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451562,"about_ca_system_score_gemma":0.000007293287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008301242,"about_ca_topic_score_gemma":0.0006882394,"domain_scores_codex":[0.9988846,0.00003139869,0.0001453144,0.0003054055,0.0002691703,0.0003640974],"domain_scores_gemma":[0.9995162,0.00001163817,0.00005499996,0.0002928878,0.000003327308,0.0001208774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003101515,0.0001555174,0.1742646,0.00001224434,0.00004178499,0.000009019013,0.0006300999,0.01174812,0.000839011,0.003998343,0.7950929,0.01317739],"study_design_scores_gemma":[0.0002607127,0.0000352393,0.04349842,0.000003634646,0.00001869434,0.000001083897,0.00002081036,0.001059629,0.0002757194,0.0001175138,0.954504,0.0002045366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8938115,0.0000446735,0.00006935118,0.008794936,0.0003970713,0.0002896994,0.000007000694,0.0001262151,0.09645959],"genre_scores_gemma":[0.96329,0.00004040724,0.0004832742,0.0005796205,0.0002406704,0.000006978708,0.00002308941,0.00001720023,0.03531875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1594111,"threshold_uncertainty_score":0.9881704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148430285375087,"score_gpt":0.2184200334847899,"score_spread":0.206935730631039,"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."}}