{"id":"W7152284930","doi":"10.33579/rkr.v6i2.4389","title":"Identifikasi Lahan Investasi Potensial Kawasan Free Trade Zone (FTZ) Bintan","year":2024,"lang":"","type":"article","venue":"REKA RUANG","topic":"Coastal Management and Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Land use; Wildlife corridor; Penetrometer; Hydrology (agriculture)","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":[0.001853327,0.0006214778,0.000377126,0.003645692,0.0009586443,0.003425822,0.0007361875,0.0005743153,0.01887384],"category_scores_gemma":[0.004086364,0.000265771,0.0003740095,0.004004621,0.0004734157,0.001609513,0.001692142,0.000941203,0.003932339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646419,"about_ca_system_score_gemma":0.00295135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01806618,"about_ca_topic_score_gemma":0.022407,"domain_scores_codex":[0.9981145,0.0002411746,0.0001802506,0.0002760806,0.0008818666,0.0003061759],"domain_scores_gemma":[0.9964297,0.0007573001,0.000926854,0.0003344425,0.001232155,0.0003195296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005577912,0.0002231519,0.6843877,0.001183177,0.0001784764,0.001929119,0.004959936,0.002197819,0.006814055,0.01954323,0.04511771,0.232908],"study_design_scores_gemma":[0.00004387884,0.0001850583,0.6284702,0.0007854943,0.0002598812,0.001699765,0.01601164,0.005736363,0.01090845,0.005901324,0.3298753,0.0001226461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7862928,0.00353935,0.01635587,0.002077752,0.0003635987,0.0006044538,0.02529733,0.0004855781,0.1649834],"genre_scores_gemma":[0.9126129,0.001991407,0.01305336,0.0004185592,0.00008162497,0.0003507304,0.0148195,0.0001453805,0.05652665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01887384,"threshold_uncertainty_score":0.06313926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188939271426427,"score_gpt":0.2212458184897803,"score_spread":0.209356425775516,"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."}}