{"id":"W2010557196","doi":"10.1139/x10-138","title":"Quantifying the research impact of the Sustainable Forest Management Network in the social sciences: a bibliometric study","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Citation impact; Citation; Principal (computer security); Social research; Field (mathematics); Forestry; Social science; Sustainable forest management; Impact factor; Forest management; Sociology; Political science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.03343609,0.0004950716,0.001775337,0.1514484,0.002221724,0.007259371,0.0008534803,0.0007539299,0.001617252],"category_scores_gemma":[0.1721606,0.0002560155,0.001670051,0.2623583,0.002090532,0.006116157,0.004022367,0.0006005735,0.0002789696],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004040268,"about_ca_system_score_gemma":0.004514147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005861483,"about_ca_topic_score_gemma":0.007726449,"domain_scores_codex":[0.9518192,0.01316299,0.009160703,0.001616319,0.02329932,0.0009415826],"domain_scores_gemma":[0.6919183,0.2411888,0.02934659,0.007278971,0.02871235,0.001555055],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002290861,0.0002109494,0.83543,0.004924324,0.001986151,0.0004056234,0.007298837,0.004155033,0.001680373,0.006579116,0.002706652,0.1343939],"study_design_scores_gemma":[0.00004003981,0.0002615035,0.9513179,0.0008088399,0.001248836,0.0007085539,0.01224737,0.01076878,0.001902517,0.005391777,0.01518002,0.0001238055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539711,0.007623087,0.005256807,0.00144873,0.00009053066,0.0005282853,0.007121545,0.0001167132,0.02384328],"genre_scores_gemma":[0.9851268,0.003743395,0.006446423,0.0000475161,0.0001673543,0.0003834172,0.003538799,0.00002572718,0.0005204609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9959598,"threshold_uncertainty_score":0.176829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1647613028666134,"score_gpt":0.4446790665602861,"score_spread":0.2799177636936726,"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."}}