{"id":"W2085139238","doi":"10.5558/tfc82662-5","title":"Is <i>Intensive Forest Management</i> a misnomer? An Ontario-based discussion of terminology and an alternative approac","year":2006,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; Ontario Forest Research Institute","funders":"","keywords":"Silviculture; Forest management; Environmental resource management; Forest ecology; Logging; Business; Agroforestry; Geography; Forestry; Environmental science; Ecology; Ecosystem","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001217633,0.0001722147,0.0001477251,0.00004133829,0.0001518911,0.00002976274,0.0004133302,0.00005048787,0.0007858105],"category_scores_gemma":[0.00000228309,0.0001023997,0.00004805783,0.0001212946,0.0005768558,0.000290002,0.0002591405,0.0001090626,0.00007280696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001313411,"about_ca_system_score_gemma":0.00001320293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03826533,"about_ca_topic_score_gemma":0.03665308,"domain_scores_codex":[0.9988924,0.00005074254,0.0001983892,0.0003308276,0.0001970533,0.0003306088],"domain_scores_gemma":[0.9992876,0.00001472919,0.0001237981,0.0004958213,0.000008957842,0.00006908154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003209517,0.0006309073,0.9338638,0.00008602506,0.0000789639,0.00004766867,0.003626066,0.02038422,0.0009439917,0.009123293,0.01736243,0.01353165],"study_design_scores_gemma":[0.002438743,0.0009488502,0.8700269,0.00004101629,0.0001237033,0.00001305354,0.000471434,0.07706954,0.001815983,0.0230044,0.02357043,0.0004759791],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846133,0.00001764672,0.00006871552,0.0006795247,0.00004562834,0.0003629146,0.00001105647,0.00002810353,0.01417313],"genre_scores_gemma":[0.9932405,0.000004123592,0.0003441299,0.0005698523,0.00006119238,0.00002587679,0.00003603814,0.00001725278,0.005701076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06383695,"threshold_uncertainty_score":0.9809255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146982311183311,"score_gpt":0.2444525868356799,"score_spread":0.2297543557173488,"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."}}