{"id":"W7054953067","doi":"","title":"Analisis Dampak Perubahan Iklim Dan Urban Sprawl Kota Palembang Pada Tata Ruang Perkotaan Di Kawasan Perbatasan Kabupaten Banyuasin","year":2023,"lang":"id","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Urban sprawl; Land use; Climate change; Urban climate; Spatial mismatch","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":[0.0007286952,0.0003492335,0.0003094412,0.002391634,0.001348005,0.002607088,0.000511525,0.0004380147,0.009202793],"category_scores_gemma":[0.002597313,0.0002262904,0.0003314963,0.005187267,0.0008234328,0.001091619,0.00192849,0.0006937102,0.0009979112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712859,"about_ca_system_score_gemma":0.002602828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0994229,"about_ca_topic_score_gemma":0.1801265,"domain_scores_codex":[0.999279,0.0002066405,0.0000552543,0.0001127034,0.0001737267,0.0001727617],"domain_scores_gemma":[0.9988814,0.0003254487,0.000220956,0.00007517893,0.0004033,0.00009368794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001529672,0.00006657036,0.8547282,0.001534915,0.0001623648,0.001613927,0.05767808,0.0004996404,0.002460596,0.005718975,0.00890141,0.06648227],"study_design_scores_gemma":[0.000005102075,0.00005189585,0.8465664,0.0004705595,0.00007636413,0.0003842363,0.1013835,0.0003239067,0.0006695371,0.0005878391,0.04945932,0.00002140298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556189,0.003122913,0.000783515,0.001632068,0.00003440398,0.0001590433,0.005837053,0.00004987851,0.0327622],"genre_scores_gemma":[0.980254,0.002132353,0.000866399,0.0002439338,0.00001762544,0.000191463,0.002315201,0.00002603942,0.01395286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0994229,"threshold_uncertainty_score":0.1976884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1994778821307127,"score_gpt":0.5152325630384517,"score_spread":0.3157546809077389,"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."}}