{"id":"W2164948205","doi":"10.1023/a:1025772928833","title":"Institutions, Forest Management, and Sustainable Human Development – Experiences from India","year":2003,"lang":"en","type":"article","venue":"Environment Development and Sustainability","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Joint Forest Management; Business; Forest management; Community forestry; Government (linguistics); Institution; Public good; Empowerment; Forest product; Democracy; Environmental planning; Economic growth; Economics; Forestry; Geography; Political science; Politics","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":[0.0005229894,0.000144483,0.000189837,0.0005451631,0.005109209,0.002646746,0.0007652916,0.0005572995,0.003501124],"category_scores_gemma":[0.0007746532,0.0001507162,0.0002096403,0.002169573,0.003671332,0.0009820781,0.003228569,0.001339199,0.0002606696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004936254,"about_ca_system_score_gemma":0.005996753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.124041,"about_ca_topic_score_gemma":0.3279773,"domain_scores_codex":[0.9991466,0.000244876,0.00002594238,0.00004151903,0.00008189898,0.0004590786],"domain_scores_gemma":[0.9991721,0.0003640765,0.00008628848,0.00004660071,0.00006816971,0.0002628774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006275061,0.001108845,0.1339009,0.0007841291,0.0001084934,0.008298893,0.6197222,0.002245429,0.00366671,0.08872416,0.01008645,0.1307264],"study_design_scores_gemma":[0.00005819758,0.0003436843,0.2798738,0.0003071736,0.0001093603,0.001525756,0.5304801,0.0003186865,0.001781149,0.004118857,0.1810075,0.00007573533],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9254806,0.001693202,0.0001110483,0.002155874,0.00003472498,0.00002277841,0.00007680848,0.000009785677,0.07041515],"genre_scores_gemma":[0.9913684,0.001251945,0.00006731111,0.000261983,0.00001282333,0.000008279033,0.00003702657,0.000004651111,0.00698753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.124041,"threshold_uncertainty_score":0.2466379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009871176369078711,"score_gpt":0.2241743307594484,"score_spread":0.2143031543903697,"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."}}