{"id":"W4297808170","doi":"10.29313/bcsurp.v2i2.3081","title":"Identifikasi Pengembangan Ruang Terbuka Hijau","year":2022,"lang":"en","type":"article","venue":"Bandung Conference Series Urban & Regional Planning","topic":"Forest Ecology and Conservation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada); WiLAN (Canada)","funders":"","keywords":"Geography; Vegetation (pathology); Normalized Difference Vegetation Index; Population; Land use; Open air; Space (punctuation); Index (typography); Forestry; Remote sensing; Computer science; Architectural engineering; Civil engineering; Engineering; Ecology; Environmental health","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":[0.0003601501,0.0009965379,0.0006616079,0.002732994,0.0008950356,0.001660637,0.0003511727,0.0004422752,0.009008237],"category_scores_gemma":[0.0005952334,0.0003109515,0.0004132255,0.002371998,0.0003475382,0.0008446335,0.0006646142,0.0003765986,0.002433239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002494688,"about_ca_system_score_gemma":0.0006625654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006248154,"about_ca_topic_score_gemma":0.01267243,"domain_scores_codex":[0.9997563,0.00003861824,0.00002470236,0.00006276752,0.00006755816,0.00005013004],"domain_scores_gemma":[0.9997838,0.00004710957,0.00003429834,0.00001897401,0.00009439582,0.00002135665],"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":[0.0007295258,0.000360508,0.2471841,0.00187739,0.0003036329,0.0054437,0.00575738,0.00295776,0.0516936,0.003086511,0.01672829,0.6638777],"study_design_scores_gemma":[0.00007055129,0.0005023908,0.6677969,0.001136075,0.001073501,0.007133992,0.03175259,0.02173011,0.02442686,0.003608019,0.2405677,0.0002012919],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9291002,0.005869814,0.01571284,0.0004349103,0.0004322911,0.0002713865,0.003688328,0.0007380069,0.04375222],"genre_scores_gemma":[0.9607931,0.002336121,0.01897206,0.00009023619,0.0000722956,0.0001219275,0.004006883,0.0001235188,0.01348387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009008237,"threshold_uncertainty_score":0.03013551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04261341495212238,"score_gpt":0.2231720394643093,"score_spread":0.1805586245121869,"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."}}