{"id":"W1909963321","doi":"10.17528/cifor/002864","title":"Facilitating forests of learning: Enabling an adaptive collaborative approach in community forest user groups: a guidebook","year":2009,"lang":"en","type":"book","venue":"Center for International Forestry Research (CIFOR) eBooks","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; International Development Research Centre","keywords":"Computer science; Learning community; Collaborative learning; Forestry; Human–computer interaction; Geography; Psychology; Knowledge management; Mathematics education","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003342496,0.0006446157,0.0007063322,0.000937844,0.0005759381,0.0002125222,0.002352134,0.0005104898,0.0002847582],"category_scores_gemma":[0.0008571753,0.0006401493,0.0003314323,0.0002576863,0.00119834,0.0005886902,0.00135868,0.00241883,0.0001110682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153263,"about_ca_system_score_gemma":0.0002942785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007985642,"about_ca_topic_score_gemma":0.003726741,"domain_scores_codex":[0.9941943,0.0007571014,0.001178592,0.0008839977,0.001820435,0.001165569],"domain_scores_gemma":[0.996765,0.001005805,0.0005715585,0.0007885305,0.0005607089,0.0003083521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009988734,0.004338075,0.2132362,0.002227271,0.00171153,0.0001591631,0.04581854,0.05143821,0.0002959434,0.2422038,0.3761701,0.05241248],"study_design_scores_gemma":[0.00677419,0.00600657,0.01167831,0.001892077,0.00008052033,0.00002131943,0.006522153,0.05550212,0.0001249354,0.1260472,0.7833787,0.001971921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08702067,0.00005211318,0.0006808175,0.00005051337,0.0002330342,0.003779385,0.0006651083,0.00008619025,0.9074322],"genre_scores_gemma":[0.2531822,0.00003617422,0.003372723,0.0001008048,0.0004922972,0.0007556994,0.003531424,0.000167747,0.7383609],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4072086,"threshold_uncertainty_score":0.9998826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0822378214266977,"score_gpt":0.3566617015580857,"score_spread":0.274423880131388,"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."}}