{"id":"W4387022809","doi":"10.30598/variancevol5iss1page37-46","title":"PEMODELAN INDEKS PEMBANGUNAN MANUSIA DI PROVINSI MALUKU DAN MALUKU UTARA DENGAN MENGGUNAKAN SPATIAL AUTOREGRESSIVE MODEL (SAR)","year":2023,"lang":"id","type":"article","venue":"VARIANCE Journal of Statistics and Its Applications","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Mathematics; Humanities; Statistics; Art","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":[0.001167239,0.001020445,0.0008689048,0.0009780593,0.0005777346,0.002104863,0.0009506688,0.0007951766,0.01322639],"category_scores_gemma":[0.002874724,0.0004868767,0.001842204,0.001663095,0.000428749,0.001259929,0.0008555872,0.001339342,0.002420641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276908,"about_ca_system_score_gemma":0.00154907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03726713,"about_ca_topic_score_gemma":0.03767121,"domain_scores_codex":[0.9994183,0.0001690414,0.00003735251,0.000197053,0.00009748041,0.00008082449],"domain_scores_gemma":[0.9991348,0.0004802029,0.00009342902,0.00007011939,0.0001880541,0.00003338973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008612573,0.0004330756,0.4332523,0.001811008,0.002022433,0.001499393,0.003397418,0.1519537,0.007974837,0.04506548,0.03044318,0.321286],"study_design_scores_gemma":[0.0001361043,0.0004311761,0.3439958,0.0008205642,0.00187388,0.0006842602,0.006312974,0.4780113,0.004974731,0.03309434,0.1294287,0.0002362567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7034661,0.008960209,0.2057187,0.005170539,0.0009723145,0.0004874448,0.02472623,0.002374423,0.04812409],"genre_scores_gemma":[0.9242713,0.002936707,0.025931,0.0003414816,0.0001595607,0.0003205647,0.009523892,0.0002137218,0.03630164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03726713,"threshold_uncertainty_score":0.07410043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785588844229318,"score_gpt":0.240380265314964,"score_spread":0.2125243768726708,"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."}}