{"id":"W3125431731","doi":"10.34123/semnasoffstat.v2020i1.650","title":"PENERAPAN REGRESI KUANTIL PADA DATA KEMISKINAN BENGKULU","year":2021,"lang":"id","type":"article","venue":"Seminar Nasional Official Statistics","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics","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":["insufficient_payload"],"category_scores_codex":[0.0007005204,0.0006055444,0.001229718,0.0002357257,0.0005928745,0.0003607388,0.001289617,0.0004864279,0.0009359441],"category_scores_gemma":[0.001593387,0.0007990067,0.0002134181,0.0004820717,0.0003634235,0.0003748957,0.001144329,0.0007185293,0.001898494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002769841,"about_ca_system_score_gemma":0.0007143322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007015201,"about_ca_topic_score_gemma":0.000941399,"domain_scores_codex":[0.9953745,0.00009160148,0.001780195,0.001496936,0.0002044193,0.001052317],"domain_scores_gemma":[0.9960093,0.0006942895,0.0009092702,0.001654378,0.0002305201,0.0005021691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001859917,0.0009682723,0.01389514,0.0003169561,0.0003543807,0.000597791,0.0005363894,0.00009285181,0.0002716639,0.6173392,0.3561829,0.00925841],"study_design_scores_gemma":[0.001511271,0.0003293344,0.03608714,0.0001823901,0.0001504219,0.0001103108,0.0005337267,0.01290329,0.001257594,0.02955794,0.9157092,0.001667356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.38682,0.08241614,0.05760324,0.01069738,0.02394051,0.001588964,0.3311159,0.0003076927,0.1055102],"genre_scores_gemma":[0.8888443,0.01123204,0.01272292,0.002460114,0.00471639,0.00001752097,0.01787648,0.0003145797,0.06181564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5877813,"threshold_uncertainty_score":0.9999774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0668546961033809,"score_gpt":0.2653961939419821,"score_spread":0.1985414978386011,"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."}}