{"id":"W4406648439","doi":"10.29313/jrpwk.v4i2.5456","title":"Analisis Interaksi Transportasi dan Kondisi Ekonomi Kota Semarang dengan Kabupaten Sekitarnya","year":2024,"lang":"id","type":"article","venue":"Jurnal Riset Perencanaan Wilayah dan Kota","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":"Sociology","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","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001439131,0.001457318,0.002293308,0.001744757,0.0006782946,0.001806805,0.001829648,0.0008103405,0.0006356516],"category_scores_gemma":[0.0001748759,0.001670506,0.001651458,0.00127898,0.0005710366,0.001531047,0.0002841927,0.002083685,0.000985462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069456,"about_ca_system_score_gemma":0.0004532315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00288688,"about_ca_topic_score_gemma":0.002956769,"domain_scores_codex":[0.9917579,0.0001840449,0.003325835,0.002316455,0.0002416957,0.002174068],"domain_scores_gemma":[0.9957051,0.0003656134,0.0008884575,0.001500254,0.0001106306,0.001429959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002038557,0.0003019159,0.9459121,0.0008230357,0.001689992,0.000448535,0.00595279,0.0001056461,0.00007916378,0.02302511,0.01725723,0.004200663],"study_design_scores_gemma":[0.001381735,0.0005598419,0.8180955,0.0007311116,0.0004643863,0.0001630924,0.002289705,0.007855378,0.0001816856,0.001052123,0.1648975,0.002327997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9304033,0.01948918,0.0001514401,0.002957564,0.003929722,0.0006332254,0.005885701,0.0002331889,0.03631667],"genre_scores_gemma":[0.9895706,0.00407254,0.00003059647,0.000769993,0.001770721,0.00007573166,0.000853079,0.0003112346,0.002545498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1476402,"threshold_uncertainty_score":0.9998177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527717581624631,"score_gpt":0.2337075467457439,"score_spread":0.2084303709294976,"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."}}