{"id":"W4310870075","doi":"10.18280/ijsdp.170721","title":"A Policy Framework and Prediction on Low Carbon Development in the Agricultural Sector in Indonesia","year":2022,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Agricultural Development and Management","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Greenhouse gas; Agricultural productivity; Natural resource economics; Agricultural economics; Business; Environmental resource management; Environmental economics; Environmental science; Economics; Geography","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":[0.00136404,0.0003938883,0.0001673976,0.001138998,0.0003877682,0.001203331,0.0004451772,0.0005501476,0.001586763],"category_scores_gemma":[0.001691413,0.0001588337,0.0003534733,0.001132783,0.0004936419,0.001336547,0.0005435334,0.0005102214,0.00008458038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005501552,"about_ca_system_score_gemma":0.002142579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03290835,"about_ca_topic_score_gemma":0.02954818,"domain_scores_codex":[0.9994554,0.0002682088,0.00003453148,0.00007747165,0.00007476904,0.00008954677],"domain_scores_gemma":[0.999373,0.0003095002,0.0001327112,0.00001610037,0.0001274804,0.00004123824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001155468,0.0003443339,0.08072972,0.0002123372,0.00006468387,0.0007082146,0.0005797995,0.8551899,0.0009326136,0.03946632,0.001942789,0.01971373],"study_design_scores_gemma":[0.00001263319,0.00005106147,0.01739003,0.00005129887,0.00002168542,0.0000365167,0.001910293,0.9668424,0.0004206798,0.01163842,0.001607166,0.00001789321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440962,0.0003121318,0.02426171,0.002689951,0.00004135703,0.000158437,0.0009982151,0.00008589061,0.02735624],"genre_scores_gemma":[0.9953621,0.0001390911,0.003756845,0.00003552065,0.000003250437,0.00003638715,0.0001249514,0.000003065287,0.0005388404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03290835,"threshold_uncertainty_score":0.06543362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118524022752445,"score_gpt":0.2163583105257325,"score_spread":0.2051730702982081,"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."}}