{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01776844,0.0006599489,0.001888706,0.1286368,0.008544351,0.02159828,0.002740889,0.001971697,0.005453884],"category_scores_gemma":[0.09243824,0.000511368,0.0006862146,0.3051033,0.00534228,0.006206751,0.003346063,0.00130612,0.0004624263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.11056,"about_ca_system_score_gemma":0.2057803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.979748,"about_ca_topic_score_gemma":0.9866325,"domain_scores_codex":[0.9668838,0.00654166,0.002662957,0.001719518,0.01978005,0.002412035],"domain_scores_gemma":[0.8525974,0.05487059,0.01151579,0.003167872,0.07312139,0.004726836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001569704,0.0002201784,0.2372245,0.008248328,0.001100754,0.0004986184,0.006948555,0.006384959,0.0004169304,0.2824946,0.1198073,0.3364983],"study_design_scores_gemma":[0.00006606206,0.00006335031,0.514729,0.009067688,0.0009511826,0.000381884,0.02201598,0.007910687,0.0008045743,0.06989815,0.3738764,0.0002350837],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1509426,0.3195176,0.00719468,0.1020033,0.001191205,0.0004709037,0.05472486,0.0004029184,0.3635518],"genre_scores_gemma":[0.8059524,0.1534294,0.009306271,0.004081941,0.001019456,0.0002265559,0.01322984,0.0001077879,0.01264633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8713632,"threshold_uncertainty_score":0.8021728,"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."}}