{"id":"W2337003510","doi":"10.33915/etd.4933","title":"Forest Regeneration: Perceptions of Natural Resource Professionals in West Virginia","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Regeneration (biology); Natural regeneration; Resource (disambiguation); Natural (archaeology); Disturbance (geology); Natural resource; Perception; Geography; Conversation; Quality (philosophy); Forestry; Agroforestry; Environmental resource management; Ecology; Biology; Psychology; Environmental science; Archaeology; Computer science; Communication","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008005694,0.0001220698,0.0001776882,0.0007306485,0.001931716,0.00156926,0.000213668,0.0004011761,0.002287084],"category_scores_gemma":[0.002326095,0.0001660904,0.0001208541,0.0004818182,0.0007104848,0.0005961146,0.0009026531,0.0005509665,0.000226524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514522,"about_ca_system_score_gemma":0.001751976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09221327,"about_ca_topic_score_gemma":0.1543354,"domain_scores_codex":[0.9992512,0.0002007607,0.00003705945,0.00007007662,0.0001563344,0.0002846569],"domain_scores_gemma":[0.9980754,0.0004060367,0.0004035006,0.00002538206,0.0002947716,0.0007950633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001134652,0.0003239191,0.7656038,0.0001008121,0.00002202933,0.001023297,0.2007862,0.0001153077,0.0017149,0.0005567288,0.004304539,0.0253351],"study_design_scores_gemma":[0.000007673412,0.0002082492,0.4639724,0.0001238639,0.00001044142,0.0005055089,0.5268378,0.0002737019,0.0001727731,0.0001152204,0.007753424,0.000018896],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983492,0.00007062442,0.00002349456,0.0002618733,0.000005593049,0.000004907568,0.00001925208,0.000001468105,0.001263642],"genre_scores_gemma":[0.9988054,0.0001448188,0.00003725378,0.0001744536,0.000003259803,0.000005046379,0.00002282857,0.00000119924,0.0008057359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09221327,"threshold_uncertainty_score":0.1833531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007838413466309913,"score_gpt":0.277380379713667,"score_spread":0.269541966247357,"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."}}