{"id":"W2910455147","doi":"10.26858/ja.v5i2.7886","title":"Analisis Potensi Sektor Unggulan dan Pemetaan Kemiskinan Masyarakat di Wilayah Maminasata Sulawesi Selatan","year":2019,"lang":"en","type":"article","venue":"Jurnal Ad ministrare","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Geography; Poverty; Socioeconomics; Typology; Lagging; Economic base analysis; Agricultural economics; Economic growth; Economics; Mathematics; Statistics; Archaeology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003617011,0.0004420831,0.0008894101,0.0003071213,0.0001973313,0.0002443513,0.0006742725,0.0002680602,0.0004223806],"category_scores_gemma":[0.00006778924,0.0004890276,0.000391273,0.0003170136,0.0001378709,0.0004640212,0.0001551314,0.0004198789,0.001192334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001869361,"about_ca_system_score_gemma":0.00005388583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001739261,"about_ca_topic_score_gemma":0.00005233943,"domain_scores_codex":[0.997177,0.0000274264,0.001084008,0.0008262249,0.00009135865,0.0007939913],"domain_scores_gemma":[0.9980342,0.00007012152,0.0005847353,0.0008639984,0.00005397519,0.000393003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006466961,0.0001237403,0.9456912,0.0001182571,0.0001636204,0.00006278905,0.0004501244,0.0000234845,0.0001570519,0.049539,0.002991435,0.0006146602],"study_design_scores_gemma":[0.001066727,0.0002978144,0.8912191,0.00005145177,0.000037571,0.0001159445,0.000829103,0.0006049565,0.0003944383,0.002714557,0.1018263,0.0008421033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9339188,0.001151313,0.00004172582,0.001431178,0.0007396369,0.0002781303,0.001039707,0.00007670398,0.06132276],"genre_scores_gemma":[0.9947543,0.0001154298,0.000122992,0.0006942117,0.0003324266,0.00001266756,0.0002087587,0.00007549188,0.00368371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09883483,"threshold_uncertainty_score":0.9997562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852067729080104,"score_gpt":0.2014316732194854,"score_spread":0.1829109959286843,"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."}}