{"id":"W2966923711","doi":"10.20527/jukung.v5i1.6209","title":"ANALISIS KESESUAIAN TATA GUNA LAHAN RUANG HIJAU PERMUKIMAN DAN KECENDERUNGAN MASYARAKAT","year":2019,"lang":"id","type":"article","venue":"Jukung (Jurnal Teknik Lingkungan)","topic":"Architectural and Urban Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Geography; Humanities; Forestry; Business; 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":[0.001207351,0.0004529296,0.0004674216,0.00127663,0.001716401,0.002272444,0.0005696724,0.0005989933,0.01732903],"category_scores_gemma":[0.002139434,0.0003247388,0.0006060365,0.00139829,0.0006323553,0.0009933037,0.0009950626,0.001240319,0.003367813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001348885,"about_ca_system_score_gemma":0.002922069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02834575,"about_ca_topic_score_gemma":0.05956758,"domain_scores_codex":[0.9987625,0.0002543002,0.0001215957,0.0002333647,0.0003877829,0.0002405036],"domain_scores_gemma":[0.998468,0.0003467749,0.0002421146,0.00009663427,0.0006760386,0.0001703907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008351865,0.000788923,0.7345628,0.002398778,0.0002892521,0.002905067,0.03345719,0.0003059187,0.01185979,0.003620815,0.02206194,0.1869145],"study_design_scores_gemma":[0.00002379053,0.0005833351,0.7557739,0.001173042,0.0003044351,0.002132392,0.0879146,0.0005429905,0.00866665,0.001322879,0.1414773,0.00008470611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9169088,0.00623,0.002053231,0.002331096,0.000290069,0.0004830965,0.005038205,0.0001153732,0.06655014],"genre_scores_gemma":[0.9056028,0.004748953,0.003903611,0.001055397,0.00006874379,0.0005095249,0.002663961,0.00007230615,0.08137477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02834575,"threshold_uncertainty_score":0.05797142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348257481487539,"score_gpt":0.2353050572367191,"score_spread":0.2118224824218437,"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."}}