{"id":"W3128096794","doi":"10.20527/jiep.v2i3.1211","title":"ANALISIS PENDAPATAN DAN KESEJAHTERAAN PETANI KARET DI DESA SARI MULYA KABUPATEN TANAH BUMBU","year":2019,"lang":"en","type":"article","venue":"JIEP Jurnal Ilmu Ekonomi dan Pembangunan","topic":"Agricultural and Environmental Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Prosperity; Welfare; Agricultural science; Socioeconomics; Business; Economic growth; Economics; Biology","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":[0.0004456109,0.0001801753,0.0001381015,0.00113313,0.0008255053,0.0005638623,0.0001659147,0.0001252643,0.005407118],"category_scores_gemma":[0.0005882266,0.00006122408,0.0001236657,0.0009102403,0.0002902887,0.0003324401,0.0004099864,0.0001987928,0.0003354102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004336493,"about_ca_system_score_gemma":0.0004448156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003190381,"about_ca_topic_score_gemma":0.007837332,"domain_scores_codex":[0.9998282,0.00004762147,0.00001198654,0.00001932579,0.00005238142,0.00004046931],"domain_scores_gemma":[0.9997055,0.0001007573,0.00006446825,0.000008458838,0.00008470345,0.00003610042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002021224,0.0002649107,0.8405638,0.0004806338,0.00004960248,0.002379571,0.04834324,0.0002004382,0.005098057,0.002743238,0.003066964,0.09660745],"study_design_scores_gemma":[0.000002901229,0.0001337567,0.9186881,0.0001028732,0.0000192662,0.0004943945,0.07037164,0.0001897653,0.0007953755,0.0002049884,0.008989303,0.000007576848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950969,0.0002415302,0.00009871023,0.0001161344,0.000006316066,0.00002132711,0.000151929,0.000001809165,0.004265435],"genre_scores_gemma":[0.9959694,0.0003750577,0.000207896,0.00001611383,0.000005049799,0.00003357278,0.0001469008,0.000001136249,0.003244885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005407118,"threshold_uncertainty_score":0.01808864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253796515188571,"score_gpt":0.2403719280751234,"score_spread":0.2278339629232377,"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."}}