{"id":"W4394998349","doi":"10.3390/land13040558","title":"Challenges and Institutional Barriers to Forest and Landscape Restoration in the Chittagong Hill Tracts of Bangladesh","year":2024,"lang":"en","type":"article","venue":"Land","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Agroforestry; Forest restoration; Restoration ecology; Forestry; Environmental resource management; Environmental protection; Environmental planning; Ecology; Forest ecology; Environmental science; Ecosystem; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002004053,0.00003428939,0.0000345658,0.00003060962,0.00005607886,0.00002081912,0.00004153013,0.00001792295,0.00002957519],"category_scores_gemma":[0.00001978446,0.00002280486,0.000006284999,0.00006440155,0.00005187112,0.00006373767,0.00004542377,0.00003092927,0.000004109283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000101139,"about_ca_system_score_gemma":0.000003824116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002278992,"about_ca_topic_score_gemma":0.007243082,"domain_scores_codex":[0.9996893,0.00002162976,0.00004960325,0.00009865473,0.000092006,0.00004881376],"domain_scores_gemma":[0.9998822,0.00002868721,0.000008266113,0.0000463192,0.000001370076,0.00003319445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007310099,0.000006209332,0.9854168,0.00002308574,0.000003072046,0.000005766819,0.005399341,0.0003828231,0.00003969625,0.0001578972,0.0001403189,0.008417678],"study_design_scores_gemma":[0.00009606106,0.00002204443,0.9745129,0.00001563428,0.000005154634,0.000002682042,0.00069438,0.0008678576,0.00000265307,0.0001142413,0.02363509,0.00003129159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915523,0.0007233403,0.00001099795,0.003256154,0.00002922582,0.00009996179,0.000003757091,0.000005390539,0.004318887],"genre_scores_gemma":[0.9995303,0.0002337148,0.0000290618,0.0001364403,0.00001547896,0.000002683014,0.00000368514,0.000001058332,0.0000476171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02349478,"threshold_uncertainty_score":0.404181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713339364481427,"score_gpt":0.2080479291903312,"score_spread":0.1909145355455169,"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."}}