{"id":"W2245330289","doi":"10.1016/j.forpol.2015.05.009","title":"Community forestry research in Canada: A bibliometric perspective","year":2015,"lang":"en","type":"article","venue":"Forest Policy and Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg","funders":"Nature; Social Sciences and Humanities Research Council of Canada; University of British Columbia; University of Winnipeg; University of Northern British Columbia","keywords":"Regional science; Citation; Geography; Library science; Political science; Social unrest; Politics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0009463101,0.0001055535,0.000134802,0.003562358,0.0001628742,0.00005987257,0.000324432,0.00004859712,0.00007768097],"category_scores_gemma":[0.0002197507,0.0001082171,0.00001723736,0.007392522,0.000236845,0.0002774416,0.0005692281,0.0003507011,0.0002536561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002874007,"about_ca_system_score_gemma":0.0004623022,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9967288,"about_ca_topic_score_gemma":0.993242,"domain_scores_codex":[0.9989402,0.0001200011,0.0001680498,0.0001720928,0.000123621,0.000476074],"domain_scores_gemma":[0.9992881,0.0001302121,0.00003948146,0.0002783318,0.00001171653,0.000252105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003398323,0.00004797752,0.8851175,0.000008878998,0.000008085241,0.000006175579,0.001367384,0.005590714,2.804751e-7,0.07463297,0.03114497,0.002041109],"study_design_scores_gemma":[0.0006867533,0.0001159896,0.8243921,0.000007394699,0.000002890344,0.000008800937,0.002135984,0.006292264,0.000003169667,0.09524361,0.07089372,0.0002173331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8097514,0.00003495474,5.654615e-7,0.001506602,0.00004731572,0.0001238493,0.00001093175,0.000006872937,0.1885175],"genre_scores_gemma":[0.9979344,0.0001153745,0.00004343241,0.0004071339,0.0001200303,0.0000155801,0.000005432406,0.00001170617,0.00134691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.188183,"threshold_uncertainty_score":0.7515427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150361920194066,"score_gpt":0.330037954421537,"score_spread":0.2150017624021305,"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."}}