{"id":"W4388709601","doi":"10.14214/sf.23034","title":"Increasing access to forest data for enhancing forest benefits to all","year":2023,"lang":"en","type":"article","venue":"Silva Fennica","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Strategic Research Council","keywords":"Business; Forest ecology; Ecoforestry; Forest management; Forest restoration; Forest inventory; Transparency (behavior); Certified wood; Forest protection; Forest farming; Corporate governance; Environmental resource management; Community forestry; Intact forest landscape; Natural resource economics; Agroforestry; Forestry; Geography; Ecosystem; Ecology; Environmental science; Economics; Political science; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.008101329,0.0005159879,0.0003311656,0.002912536,0.003250147,0.00548509,0.001198737,0.002917096,0.0345315],"category_scores_gemma":[0.01805715,0.0002031037,0.0008878274,0.002843342,0.0027577,0.008557352,0.009701478,0.001664476,0.001905505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189057,"about_ca_system_score_gemma":0.004275727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004587823,"about_ca_topic_score_gemma":0.01013112,"domain_scores_codex":[0.9946814,0.002119828,0.0002678692,0.0004590258,0.00131931,0.001152574],"domain_scores_gemma":[0.9844486,0.009353111,0.001100671,0.002050678,0.001819578,0.001227461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003652177,0.0007143064,0.03670557,0.002144995,0.000217442,0.001567614,0.01252335,0.003175173,0.006715957,0.5152349,0.03925308,0.3813823],"study_design_scores_gemma":[0.00009487467,0.0003575639,0.05128245,0.002390472,0.0003131842,0.001497456,0.01206428,0.001863344,0.006159496,0.2351463,0.6886652,0.0001654314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.1580479,0.008089486,0.03178721,0.0748975,0.0008670954,0.0004096497,0.002198605,0.0004069668,0.7232956],"genre_scores_gemma":[0.9502541,0.003196995,0.01715819,0.006116139,0.0004833037,0.0002364705,0.0009315235,0.0001074665,0.02151579],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.0345315,"threshold_uncertainty_score":0.1155194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1282169331176763,"score_gpt":0.3060651086274008,"score_spread":0.1778481755097245,"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."}}