{"id":"W2248207022","doi":"","title":"Applying an understanding of stand and competition dynamics for natural regeneration and achievement of alternative end products: examples from Western Canadian mixedwood forests.","year":2005,"lang":"en","type":"article","venue":"","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Competition (biology); Regeneration (biology); Natural (archaeology); Environmental resource management; Natural resource economics; Environmental science; Ecology; Economics; Geography; Biology","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":[0.001293736,0.0004207476,0.0002792668,0.001110848,0.005910324,0.002909157,0.001307161,0.0009979678,0.003893911],"category_scores_gemma":[0.001996093,0.0001580843,0.0004525625,0.002729079,0.004040428,0.001672715,0.001405814,0.001291611,0.0002335312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.026103,"about_ca_system_score_gemma":0.01697738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9452951,"about_ca_topic_score_gemma":0.9862191,"domain_scores_codex":[0.9994604,0.0001257566,0.000008787121,0.0000536602,0.0001633463,0.0001880013],"domain_scores_gemma":[0.9994354,0.000206787,0.00004593647,0.00003885946,0.0001932403,0.00007967918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003427033,0.0002857101,0.1138065,0.0006214082,0.0001589296,0.005699201,0.07373664,0.03084329,0.01111297,0.4911078,0.02529444,0.2469904],"study_design_scores_gemma":[0.00004372217,0.0001296214,0.2707291,0.0004378674,0.0001690946,0.001868456,0.1261722,0.03449622,0.003212016,0.2835543,0.2789825,0.000204924],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6107806,0.008802476,0.03301167,0.01346339,0.00006829623,0.0001501757,0.000626623,0.00007730132,0.3330195],"genre_scores_gemma":[0.9662638,0.004799354,0.01279552,0.0004625953,0.00001101751,0.00003168913,0.0001400419,0.00002342085,0.0154725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0547049,"threshold_uncertainty_score":0.1893914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02883679802091698,"score_gpt":0.243437584826832,"score_spread":0.214600786805915,"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."}}