{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005433981,0.0004530157,0.0005187965,0.000151653,0.0008623486,0.0004260545,0.0009980456,0.0001910195,0.0005491397],"category_scores_gemma":[0.00004094086,0.0003656172,0.0003677826,0.0004447526,0.0002933741,0.0009275318,0.0003801707,0.0003908856,0.0004493514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007746841,"about_ca_system_score_gemma":0.00006498093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005513118,"about_ca_topic_score_gemma":0.002974201,"domain_scores_codex":[0.9965799,0.0002728913,0.0005782412,0.0007757986,0.0008169821,0.0009761455],"domain_scores_gemma":[0.9985303,0.00008629683,0.0002617961,0.0005281072,0.00005530589,0.0005381733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001222841,0.0002622724,0.9613017,0.00004881239,0.0002347434,0.00009898804,0.00723676,0.00009196938,0.004194436,0.00826636,0.00254795,0.0155937],"study_design_scores_gemma":[0.0006708318,0.0001756682,0.8766605,0.00005820676,0.0001153783,0.00000864074,0.02041929,0.0001327602,0.0003888753,0.00005643722,0.1006145,0.0006989098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577022,0.0001326147,0.00002103972,0.002011426,0.0007347566,0.000635114,0.00005522629,0.0001481679,0.03855949],"genre_scores_gemma":[0.9951828,0.0001958298,0.00006901887,0.0005848355,0.0006377738,0.0000339682,0.0001195452,0.0000429457,0.003133299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09806658,"threshold_uncertainty_score":0.9998796,"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."}}