{"id":"W2070516708","doi":"10.5558/tfc83092-1","title":"Can hybrid poplar save industrial forestry in Canada?: A financial analysis in Alberta and policy considerations","year":2007,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture Food and Rural Development","funders":"University of Alberta; Ministry of Natural Resources","keywords":"Zoning; Taiga; Business; Forest management; Resource (disambiguation); Yield (engineering); Land use; Forestry; Agroforestry; Natural resource economics; Environmental resource management; Geography; Economics; Ecology; Environmental science; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003342134,0.0001489799,0.0001845081,0.0001542663,0.000139379,0.0000343262,0.0001946243,0.00005765199,0.0006769957],"category_scores_gemma":[0.0001824106,0.0001257327,0.00004156719,0.0009218026,0.0002442622,0.0001158991,0.0001962368,0.0002549542,0.0000252305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141239,"about_ca_system_score_gemma":0.0006223969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916889,"about_ca_topic_score_gemma":0.9993368,"domain_scores_codex":[0.9986438,0.00004775629,0.0003041407,0.0002452962,0.0002176625,0.0005413604],"domain_scores_gemma":[0.9993448,0.0001780193,0.00007277064,0.000289768,0.000002848054,0.0001117609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003061666,0.0000296676,0.9732006,0.000003095987,0.00002437522,0.00006804294,0.0003659436,0.0122347,0.00001086461,0.006782735,0.006084269,0.001165059],"study_design_scores_gemma":[0.001098374,0.0000349217,0.9836608,0.000009610431,0.00005083936,0.00001282657,0.00008676788,0.006604042,0.0001385302,0.005006705,0.003076065,0.0002205265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893221,0.0000229471,0.000003744771,0.00524516,0.00004534593,0.0002504142,0.00002111952,0.000006653737,0.005082509],"genre_scores_gemma":[0.9985112,0.000008414895,0.00001849341,0.0007443111,0.000128034,0.00001127235,0.00001610434,0.000009417232,0.0005527533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01046016,"threshold_uncertainty_score":0.7412628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197194175432857,"score_gpt":0.2286086292613677,"score_spread":0.2166366875070391,"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."}}