{"id":"W2977996485","doi":"10.11575/prism/37187","title":"Deforestation in Indonesia: The Politics of Land Use Change Post Suharto","year":2019,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Calgary","keywords":"Deforestation (computer science); Politics; Geography; Political science; Land use; Land use, land-use change and forestry; Development economics; Political economy; Economics; Agriculture; Ecology; Computer science; Archaeology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002903083,0.00006764873,0.000169504,0.0002741563,0.0007541243,0.00154422,0.0002077712,0.0002647397,0.003230366],"category_scores_gemma":[0.0006398704,0.000080251,0.0001097893,0.0006729868,0.0006847842,0.0009006655,0.0007724149,0.001112517,0.000379623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359785,"about_ca_system_score_gemma":0.0006384547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03299771,"about_ca_topic_score_gemma":0.07146934,"domain_scores_codex":[0.9998129,0.00003524464,0.00000923039,0.00002884116,0.00002989061,0.00008399394],"domain_scores_gemma":[0.9994905,0.00008033474,0.0002265314,0.00001967265,0.00004887087,0.000134106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002141787,0.0003182434,0.9382294,0.00008194752,0.00004226572,0.001330703,0.01116745,0.0009717235,0.0009632866,0.005646468,0.005815093,0.03521927],"study_design_scores_gemma":[0.000003928768,0.00002718666,0.980996,0.00003023722,0.000005299376,0.00009948414,0.01115126,0.0007800438,0.0001967068,0.000477083,0.00622408,0.000008738925],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856256,0.0002304783,0.00005551047,0.001022992,0.00002048866,0.000006238184,0.0003112435,0.000003741224,0.01272381],"genre_scores_gemma":[0.9976614,0.0001763946,0.0000347219,0.00009529696,0.000009536546,0.000004207956,0.0001597748,0.000002882734,0.001855874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03299771,"threshold_uncertainty_score":0.0656113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0435955219637432,"score_gpt":0.2611015133710211,"score_spread":0.2175059914072779,"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."}}