{"id":"W7132854267","doi":"10.33019/d5je0r76","title":"&lt;b&gt;Analisis Kemampuan Lahan di Kabupaten Bangka&lt;/b&gt;","year":2025,"lang":"","type":"article","venue":"Zoning","topic":"Wetland Management and Conservation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Land use; Geographic information system; Land information system; Land-use planning; Land management; Government (linguistics); Spatial analysis; Natural resource","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":[0.0005566736,0.0004389196,0.000296673,0.00437516,0.0004937177,0.001125008,0.0003584214,0.0001325945,0.007741203],"category_scores_gemma":[0.0007271996,0.0001858532,0.0003158356,0.003842896,0.0003974237,0.0004223659,0.0006707937,0.0002063589,0.001434069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009606452,"about_ca_system_score_gemma":0.001437216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03742343,"about_ca_topic_score_gemma":0.08784747,"domain_scores_codex":[0.9997281,0.0000446111,0.00003249513,0.00004704889,0.00009204033,0.00005566574],"domain_scores_gemma":[0.9995669,0.00009957542,0.00007692714,0.00003846652,0.0001494284,0.00006865316],"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":[0.0003012551,0.00008088848,0.6904877,0.001346519,0.0001777527,0.002989222,0.008806891,0.001873285,0.01412915,0.003739819,0.004365279,0.2717022],"study_design_scores_gemma":[0.00000446924,0.00006335649,0.9559322,0.0001755952,0.00005237935,0.001108208,0.01220829,0.001111529,0.002333199,0.0003269044,0.02664932,0.00003455697],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547725,0.001336876,0.002245295,0.0001054382,0.00002062958,0.0001643969,0.003595548,0.00008607423,0.03767328],"genre_scores_gemma":[0.9797396,0.0006382669,0.004256975,0.00002392906,0.00000478265,0.0001208645,0.002277737,0.00003153829,0.01290619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03742343,"threshold_uncertainty_score":0.07441121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009769907089428343,"score_gpt":0.2088041445002081,"score_spread":0.1990342374107797,"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."}}