{"id":"W2961787131","doi":"10.20527/jukung.v5i1.6202","title":"PERAN RUANG TERBUKA HIJAU DALAM PERENCANAAN KOTA SEBAGAI POTENSI PEMBENTUK SMART CITY","year":2019,"lang":"id","type":"article","venue":"Jukung (Jurnal Teknik Lingkungan)","topic":"Coastal Management and Development","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Humanities; Smart city; Geography; Engineering; Internet of Things; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00133558,0.001148785,0.001044001,0.0003540888,0.000868113,0.0007977564,0.001408092,0.0004075611,0.006430142],"category_scores_gemma":[0.0001586256,0.001131649,0.0005199929,0.0009484402,0.0003627755,0.001011923,0.002058494,0.001374901,0.0087731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227889,"about_ca_system_score_gemma":0.0002726423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009873009,"about_ca_topic_score_gemma":0.0008594748,"domain_scores_codex":[0.9925764,0.0002735379,0.001335697,0.001802623,0.002032505,0.00197929],"domain_scores_gemma":[0.996704,0.0001710346,0.0006212455,0.001311516,0.0001115997,0.001080628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007329459,0.002108388,0.5960113,0.000865881,0.001301028,0.0009201652,0.009433976,0.0007417526,0.2759801,0.0009517968,0.02695396,0.08399865],"study_design_scores_gemma":[0.003106161,0.0009164011,0.6807699,0.0008287727,0.0004669745,0.0001467272,0.001979683,0.003036258,0.01091331,0.0003715012,0.2945306,0.002933679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940747,0.0008546369,0.0001071739,0.002145987,0.003660024,0.001296556,0.00003408973,0.0002071582,0.05094736],"genre_scores_gemma":[0.873636,0.0005225681,0.0008618337,0.001056092,0.0005332708,0.00002128071,0.00006391836,0.0001330736,0.123172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2675767,"threshold_uncertainty_score":0.9991134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052311901922165,"score_gpt":0.2123714650465907,"score_spread":0.201848346027369,"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."}}