{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005255748,0.0007667033,0.0003418612,0.0007367433,0.001508901,0.002476909,0.0004498865,0.0005070848,0.01670936],"category_scores_gemma":[0.0006498725,0.0003583123,0.0004623886,0.001050109,0.0005279445,0.001033971,0.001197879,0.0009264699,0.003588922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000973669,"about_ca_system_score_gemma":0.002520354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004404152,"about_ca_topic_score_gemma":0.01600793,"domain_scores_codex":[0.9996332,0.0000593748,0.00002029054,0.00008116394,0.0001286046,0.00007737246],"domain_scores_gemma":[0.9996527,0.00006399741,0.00005854491,0.00002548092,0.0001271633,0.00007208747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00132887,0.001426467,0.147419,0.003728303,0.0003384348,0.006582619,0.02054788,0.002614719,0.06246048,0.02598727,0.02616447,0.7014015],"study_design_scores_gemma":[0.00010112,0.0009786604,0.3611701,0.001095675,0.0003490167,0.003134866,0.03475703,0.002047403,0.02243081,0.005568459,0.568244,0.0001228139],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8634517,0.009108688,0.006936424,0.002819652,0.0005284584,0.0002250014,0.000749515,0.000303903,0.1158767],"genre_scores_gemma":[0.8848683,0.005947112,0.01024046,0.0003026187,0.00009403046,0.0001943485,0.0007928356,0.00009353631,0.09746689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01670936,"threshold_uncertainty_score":0.05589837,"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."}}