{"id":"W2004265500","doi":"10.5558/tfc84756-5","title":"Ontario's Forestry Research Partnership: Progress and next steps","year":2008,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Forest Research Institute; Ministry of Natural Resources and Forestry; Ministry of Agriculture, Food and Rural Affairs","funders":"","keywords":"General partnership; Adaptive management; Documentation; Forest management; Business; Forestry; Environmental resource management; Process management; Computer science; Knowledge management; Environmental planning; Geography; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01426604,0.0004780828,0.0003617926,0.001187314,0.00936791,0.00641959,0.001585652,0.003357569,0.01393129],"category_scores_gemma":[0.008663437,0.0002730029,0.0002968575,0.003192914,0.002281795,0.003848265,0.003457313,0.001772531,0.001346571],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04378558,"about_ca_system_score_gemma":0.3456849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.898891,"about_ca_topic_score_gemma":0.9452645,"domain_scores_codex":[0.9912421,0.001192171,0.0002170682,0.0002939472,0.003946716,0.003108],"domain_scores_gemma":[0.9844664,0.001543958,0.000559054,0.0004244128,0.004322956,0.008683072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003133078,0.0003674422,0.02550278,0.002465267,0.00003396676,0.001076826,0.01005355,0.001508445,0.001607829,0.1115877,0.3300011,0.5154818],"study_design_scores_gemma":[0.00007847074,0.0001353461,0.0301161,0.0007409509,0.00001621149,0.0001715967,0.01355952,0.0006548574,0.0004159164,0.006211256,0.9478513,0.00004851549],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07888126,0.05364618,0.007169816,0.5877209,0.003990329,0.001314905,0.003954467,0.0005800947,0.2627421],"genre_scores_gemma":[0.6054959,0.05762431,0.05400946,0.03254756,0.0008286659,0.001245797,0.007252776,0.0001748355,0.2408207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9562144,"threshold_uncertainty_score":0.317688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0735980877653698,"score_gpt":0.3139099063003875,"score_spread":0.2403118185350177,"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."}}