{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007119006,0.0003566234,0.0002345223,0.0001087154,0.001257453,0.0001295165,0.0002228264,0.00009383009,0.002268118],"category_scores_gemma":[0.00003583876,0.0003395971,0.00003010375,0.000190103,0.0006558663,0.0004710312,0.0007823991,0.0001296141,0.0001401177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007894312,"about_ca_system_score_gemma":0.00005875679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000183797,"about_ca_topic_score_gemma":0.00004863432,"domain_scores_codex":[0.9974878,0.0001037732,0.0004423775,0.0007745145,0.0004043758,0.0007870875],"domain_scores_gemma":[0.999265,0.00003248733,0.00009900717,0.0003506187,0.000006744496,0.0002461534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001686626,0.0002130237,0.9509203,0.0001023749,0.00005496284,0.00006042222,0.01400749,0.0001221548,0.000003902487,0.02451023,0.001327766,0.00866053],"study_design_scores_gemma":[0.0005292546,0.00002714546,0.4851523,0.000005567213,0.00001392667,0.000001319288,0.006950552,0.000008318978,0.0001252857,0.003524515,0.5032948,0.0003670025],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669123,0.0001547541,0.0003036931,0.00008856673,0.00003268142,0.0008391691,5.674128e-7,0.00005363637,0.03161464],"genre_scores_gemma":[0.9723178,0.00005560627,0.00490405,0.0001299869,0.0000121115,0.0004157432,0.00003469441,0.00001725966,0.02211278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.501967,"threshold_uncertainty_score":0.9999056,"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."}}