{"id":"W1985289937","doi":"10.13073/0015-7473-59.11.83","title":"Demands on Lumber Suppliers within the US Prodealers Channel","year":2009,"lang":"en","type":"article","venue":"Forest Products Journal","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Channel (broadcasting); Engineering; Woodworking; Business; Forensic engineering; Manufacturing engineering; Mechanical engineering; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0008014839,0.0001625895,0.0001507836,0.0007555989,0.0009081465,0.001024912,0.0003422729,0.000412663,0.008250912],"category_scores_gemma":[0.002699764,0.0002505321,0.0001831398,0.001122018,0.0002277545,0.0008454879,0.0007480187,0.0003835681,0.001069777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008844858,"about_ca_system_score_gemma":0.0008010937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0224018,"about_ca_topic_score_gemma":0.05076124,"domain_scores_codex":[0.999317,0.0001560298,0.00004493762,0.00007562572,0.0002690052,0.0001373818],"domain_scores_gemma":[0.9968707,0.0007811128,0.0006130168,0.0001186528,0.001175107,0.0004414637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004141608,0.0002506696,0.8919678,0.0001455667,0.00002525189,0.002118747,0.01338352,0.000621616,0.007969565,0.00101384,0.008672556,0.07341659],"study_design_scores_gemma":[0.0000142986,0.0002510863,0.9112912,0.0001314245,0.00002498893,0.001289383,0.05378143,0.001464624,0.002157215,0.0002214637,0.02932569,0.00004726809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940837,0.00009368343,0.00007305849,0.0002250117,0.000003713087,0.000006037946,0.0001389901,0.000008345908,0.00536758],"genre_scores_gemma":[0.9932271,0.0003123868,0.0003106293,0.0002183727,0.000005376117,0.00001050999,0.0004779555,0.0000137134,0.0054241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0224018,"threshold_uncertainty_score":0.04454285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027939128992064,"score_gpt":0.2240077076185546,"score_spread":0.213728316328634,"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."}}