{"id":"W2016186239","doi":"10.1080/00045600903202855","title":"Territorial Tensions: Rainforest Conservation, Postconflict Recovery, and Land Tenure in Liberia","year":2009,"lang":"en","type":"article","venue":"Annals of the Association of American Geographers","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Rainforest; Political science; Government (linguistics); Land use; Nature Conservation; Customary land; Environmental planning; Land tenure; Civil society; Geography; Natural resource economics; Environmental protection; Environmental resource management; Development economics; Economics; Ecology; Politics; Law; Agriculture","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":[0.001906802,0.000120068,0.0001992331,0.0007965211,0.005376231,0.00415718,0.0007019784,0.001417661,0.006059977],"category_scores_gemma":[0.003493496,0.0001261772,0.0001147342,0.001454712,0.01297012,0.0033436,0.003328922,0.001551527,0.0001764024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006567886,"about_ca_system_score_gemma":0.003367113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01956424,"about_ca_topic_score_gemma":0.06387842,"domain_scores_codex":[0.9987501,0.0006369469,0.00003081474,0.00007831864,0.00009345541,0.000410349],"domain_scores_gemma":[0.9980445,0.0006301887,0.0007250668,0.00004597091,0.00008873692,0.0004654979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002161832,0.0003753887,0.1089037,0.0004058504,0.00005832599,0.002495106,0.1429196,0.0009983103,0.000378367,0.6441291,0.02132097,0.07779919],"study_design_scores_gemma":[0.00007395179,0.0002157023,0.2735105,0.001258859,0.00005252661,0.002096328,0.3820118,0.001197977,0.0003074802,0.1551227,0.1840938,0.00005836794],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6628678,0.0299066,0.0005186344,0.1279489,0.0001792673,0.00002587759,0.00006795702,0.000007565131,0.1784774],"genre_scores_gemma":[0.9947061,0.002774844,0.00005583068,0.0009274504,0.00007928778,0.00001033862,0.0000130887,0.000001421049,0.001431642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01956424,"threshold_uncertainty_score":0.04765356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078546587343468,"score_gpt":0.2282037557251213,"score_spread":0.2174182898516867,"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."}}