{"id":"W2195320478","doi":"10.20961/arst.v13i2.15656","title":"PENGARUH PERKEMBANGAN INDUSTRI SKALA SEDANG DAN BESAR YANG TERAGLOMERASI TERHADAP PERMUKIMAN DI MOJOSONGO-TERAS, KABUPATEN BOYOLALI","year":2017,"lang":"en","type":"article","venue":"Arsitektura","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":"Settlement (finance); Human settlement; Economies of agglomeration; Scale (ratio); Population; Business; Geography; Engineering; Economy; Economic growth; Economics; Cartography; Sociology; Archaeology; Demography; Finance","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":[0.0004399095,0.0004731398,0.0007828838,0.0003152926,0.001173362,0.0009389527,0.001194793,0.0003356349,0.0002392705],"category_scores_gemma":[0.0002170706,0.0005267752,0.0003253435,0.0001151878,0.000268832,0.001200587,0.0003914072,0.0006131725,0.0005508831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001957195,"about_ca_system_score_gemma":0.00002697374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001314679,"about_ca_topic_score_gemma":0.00009216967,"domain_scores_codex":[0.9973012,0.00003069238,0.0008398844,0.0008494969,0.00007141267,0.0009073154],"domain_scores_gemma":[0.9974538,0.00007752691,0.0007159273,0.001352508,0.00004600925,0.0003542344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002598555,0.0001053961,0.9565763,0.00003542292,0.0001332495,0.00003338982,0.00152472,0.00002847653,0.000201881,0.03576658,0.002776034,0.002792515],"study_design_scores_gemma":[0.001098646,0.0001040712,0.9378198,0.00004067352,0.00002467642,0.00003034319,0.0003742955,0.002006164,0.0004422513,0.001614808,0.05562094,0.0008232932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9334609,0.0008285415,0.00009845553,0.00272038,0.0007854414,0.0003143148,0.000176954,0.0001171314,0.0614979],"genre_scores_gemma":[0.9941844,0.0001311177,0.0000920466,0.000910282,0.0006179896,0.00003513163,0.0001034073,0.0000834357,0.003842185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06072352,"threshold_uncertainty_score":0.9997184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04454273764620745,"score_gpt":0.2344580647820499,"score_spread":0.1899153271358424,"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."}}