{"id":"W2243936526","doi":"","title":"Enhancing the economic value of Canada's forest fibre, Vancouver, Canada, 29 January 2009.","year":2009,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Geography; Forestry; Agricultural economics; Economics; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001329374,0.0001561818,0.0001433558,0.00002070028,0.0001433861,0.0000178724,0.0004163769,0.00003609386,0.00007221453],"category_scores_gemma":[0.000009874306,0.0001076402,0.00004351095,0.0001071869,0.00004517511,0.00006986631,0.00004443649,0.0001148631,0.000004181573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008418271,"about_ca_system_score_gemma":0.001014875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8267975,"about_ca_topic_score_gemma":0.999131,"domain_scores_codex":[0.9990117,0.00001908875,0.0002863105,0.0001246325,0.0001954417,0.0003628342],"domain_scores_gemma":[0.9993505,0.00005015512,0.00006263111,0.0004523451,0.00001553972,0.00006875421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007425336,0.000007525177,0.0003406162,0.0000389443,0.00004218233,0.000005278904,0.00005115987,0.5316963,0.0001694033,0.006699021,0.4602761,0.0006660806],"study_design_scores_gemma":[0.001293026,0.0001766041,0.1112937,0.0001332148,0.00009258997,0.00001477799,0.0008211789,0.4089091,0.03919178,0.003240166,0.4340758,0.0007580809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536888,0.001759967,0.001076659,0.001345661,0.002414259,0.0006172344,0.0001014998,0.0001404558,0.03885549],"genre_scores_gemma":[0.9982609,0.00004170668,0.00003088422,0.0003773272,0.0001109418,0.000008339463,0.000009891031,0.00001762787,0.001142346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1723334,"threshold_uncertainty_score":0.4389439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003596718526284248,"score_gpt":0.1760818975223969,"score_spread":0.1724851789961127,"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."}}