{"id":"W3004439004","doi":"10.29405/jgel.v4i1.3640","title":"Analisis Perubahan Penggunaan Lahan Pasca Kejadian Tsunami Tahun 2018 Sebagai Rekomendasi Tata Ruang Di Pesisir Pantai Kecamatan Panimbang, Pandeglang, Banten","year":2020,"lang":"id","type":"article","venue":"Jurnal Geografi Edukasi dan Lingkungan (JGEL)","topic":"Coastal Management and Development","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada); WiLAN (Canada)","funders":"","keywords":"Forestry; Geography; Physics; Humanities","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","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001533579,0.002054409,0.001819041,0.0006495959,0.001909139,0.001762304,0.003057675,0.000615457,0.002831462],"category_scores_gemma":[0.0003352825,0.002058407,0.001139508,0.002685592,0.0008987751,0.00154169,0.003255318,0.001883285,0.002828907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009999379,"about_ca_system_score_gemma":0.0003213133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002445291,"about_ca_topic_score_gemma":0.002685391,"domain_scores_codex":[0.9876909,0.0007172389,0.002344334,0.003109801,0.002835192,0.00330256],"domain_scores_gemma":[0.9936444,0.000268108,0.001255011,0.001727947,0.0001511235,0.002953433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001279617,0.002102899,0.7194141,0.001380602,0.002627508,0.002925731,0.02466581,0.0003576102,0.02512199,0.0004847395,0.1032637,0.1163758],"study_design_scores_gemma":[0.003470817,0.001658598,0.5502495,0.0008766163,0.001226962,0.0001447049,0.01834271,0.003673553,0.003582184,0.0000916897,0.412566,0.00411657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568543,0.002625039,0.000530264,0.01499846,0.002487237,0.002511403,0.0007468945,0.0007434114,0.01850298],"genre_scores_gemma":[0.9831644,0.002183424,0.0009391518,0.004156249,0.002063075,0.0001036657,0.000845934,0.0003492929,0.006194788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3093024,"threshold_uncertainty_score":0.9993902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796598200826603,"score_gpt":0.221239536058202,"score_spread":0.203273554049936,"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."}}