{"id":"W2617569828","doi":"10.1080/02255189.2017.1309313","title":"Inside and outside the maps: mutual accommodation and forest destruction in Cambodia","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Development Studies/Revue canadienne d études du développement","topic":"Cambodian History and Society","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Department for International Development, UK Government","keywords":"Climate change; Accommodation; Geography; Environmental resource management; Political science; Environmental planning; Ecology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007343979,0.0001318817,0.000142553,0.0006741305,0.005650883,0.002008368,0.0005417882,0.0006943601,0.005655268],"category_scores_gemma":[0.001922151,0.0002204728,0.00008382912,0.00108288,0.005548375,0.001858865,0.005862522,0.000722794,0.0001124109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003220448,"about_ca_system_score_gemma":0.001698351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07321073,"about_ca_topic_score_gemma":0.1820696,"domain_scores_codex":[0.9993844,0.0002792608,0.00001763692,0.00005267419,0.00004247771,0.0002234712],"domain_scores_gemma":[0.9992589,0.0003107324,0.000240008,0.00004797606,0.00003612668,0.000106273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001040356,0.00006502851,0.1767611,0.0001631882,0.00002517214,0.006291105,0.7446625,0.000350011,0.001383469,0.02492498,0.00178334,0.04348613],"study_design_scores_gemma":[0.000004728517,0.00003787967,0.186003,0.0001739264,0.00001218067,0.001220051,0.785643,0.0002833541,0.0002665195,0.002536985,0.02380155,0.00001675933],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841547,0.0004166469,0.0001182335,0.001207922,0.000006996903,0.000006397975,0.00002197538,0.000001940866,0.01406517],"genre_scores_gemma":[0.9989674,0.0001202889,0.00004366388,0.00002575302,0.000001224064,0.000003034555,0.000006114393,7.611165e-7,0.0008318195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07321073,"threshold_uncertainty_score":0.1455691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07132509259546972,"score_gpt":0.2786185531006201,"score_spread":0.2072934605051504,"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."}}