{"id":"W4239019828","doi":"10.1002/div.6866","title":"Universal Forest Products Inc.","year":2008,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineered wood; Business; Truss; Solid wood; Commerce; Engineering; Civil engineering; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000313119,0.000909864,0.0004632004,0.001918542,0.001037739,0.001916158,0.0006706876,0.0008055622,0.621606],"category_scores_gemma":[0.0005594019,0.0003574315,0.0002450302,0.001479607,0.0002899236,0.001359502,0.0009926935,0.001259533,0.4797227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005227395,"about_ca_system_score_gemma":0.001274842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006088575,"about_ca_topic_score_gemma":0.01834632,"domain_scores_codex":[0.9995891,0.00002262131,0.00001454173,0.0001010199,0.0002307134,0.00004198571],"domain_scores_gemma":[0.9995566,0.00003652328,0.0000320927,0.00006819029,0.0002211876,0.00008551713],"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":[0.00009694084,0.0001472098,0.0006393308,0.0002833617,0.00000527666,0.0001156605,0.00007601148,0.0000909544,0.002330862,0.005681615,0.6237099,0.3668229],"study_design_scores_gemma":[0.00001194351,0.0000200273,0.0007738653,0.00007093623,0.000003195881,0.000109509,0.00002971587,0.0000678349,0.0003295579,0.0006403951,0.9979392,0.000003710216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001043574,0.001872488,0.001076525,0.0006218348,0.0002112898,0.0001019226,0.006794021,0.002971818,0.9853064],"genre_scores_gemma":[0.004905116,0.001358733,0.001981795,0.0004372593,0.00004648578,0.00006913691,0.007659965,0.0004145456,0.9831269],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.621606,"threshold_uncertainty_score":0.5397331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01788720830888417,"score_gpt":0.2126617264179643,"score_spread":0.1947745181090801,"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."}}