{"id":"W2921153941","doi":"10.29303/jbl.v2i1.97","title":"PERENCANAAN LANSKAP KAWASAN PERKOTAAN KOTA PALU BERBASIS MITIGASI TEMPERATUR PERMUKAAN LAHAN","year":2019,"lang":"en","type":"article","venue":"Jurnal Belantara","topic":"Community-based Tourism Development and Sustainability","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada); WiLAN (Canada)","funders":"","keywords":"Vegetation (pathology); Land use; Urban planning; Geography; Distribution (mathematics); Sustainability; Landscape planning; Land-use planning; Environmental planning; Civil engineering; Ecology","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001487899,0.0003084166,0.0004162724,0.000203489,0.001358619,0.0002655423,0.0007833592,0.0002394549,0.002451291],"category_scores_gemma":[0.0001972152,0.0002887122,0.0002367991,0.0005459584,0.0002770605,0.0003965039,0.0001628195,0.0008394457,0.0003108268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005662957,"about_ca_system_score_gemma":0.001167334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01320718,"about_ca_topic_score_gemma":0.01382371,"domain_scores_codex":[0.9967155,0.0007006853,0.0004248873,0.0004405032,0.0008346413,0.000883718],"domain_scores_gemma":[0.9982575,0.0002838441,0.0001325958,0.0006029985,0.000295447,0.0004276291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008132122,0.0001748451,0.9445536,0.00005902382,0.00007695751,0.00006599537,0.0332681,0.000003846544,0.0002495492,0.007802796,0.007271518,0.006392416],"study_design_scores_gemma":[0.0008994854,0.0001625517,0.4516729,0.00008627397,0.00005295064,0.0000145181,0.02763054,0.000025174,0.0001747285,0.001302637,0.5172576,0.0007206738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9272146,0.0001722548,0.000002415412,0.006545454,0.0005257697,0.0004586562,0.00002622543,0.0001407219,0.06491396],"genre_scores_gemma":[0.9806993,0.0001391873,0.0002770753,0.0006154054,0.0004329588,0.00002139214,0.00005862981,0.00002943933,0.01772662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5099861,"threshold_uncertainty_score":0.9999565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007995843801392788,"score_gpt":0.2705463889748604,"score_spread":0.2625505451734676,"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."}}