{"id":"W2739609849","doi":"10.29313/jpwk.v14i1.2551","title":"IDENTIFIKASI DAMPAK PERUBAHAN FUNGSI EKOSISTEM PESISIR TERHADAP LINGKUNGAN DI WILAYAH PESISIR KECAMATAN MUARAGEMBONG","year":2017,"lang":"id","type":"article","venue":"Jurnal Perencanaan Wilayah dan Kota","topic":"Marine and Coastal Ecosystems","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Forestry; Geography","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","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001863317,0.001921355,0.00199077,0.0003921337,0.005182062,0.005240364,0.005945242,0.0007534536,0.001459962],"category_scores_gemma":[0.0003814126,0.001890342,0.001265739,0.0005447873,0.001253435,0.003025051,0.003822092,0.001988882,0.001592365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231087,"about_ca_system_score_gemma":0.0004174047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00935676,"about_ca_topic_score_gemma":0.01862228,"domain_scores_codex":[0.9884422,0.0006254376,0.002427477,0.002880588,0.002787833,0.0028365],"domain_scores_gemma":[0.9899318,0.0002119204,0.002545074,0.005084037,0.0001839148,0.002043205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003373467,0.001228655,0.9087107,0.001072205,0.0008861175,0.0017413,0.003110202,0.0001813455,0.02264275,0.0008326188,0.01469227,0.04456456],"study_design_scores_gemma":[0.001966109,0.0007267646,0.9032428,0.001280146,0.0007161041,0.0005340076,0.003865669,0.005544106,0.003253474,0.000095451,0.0759464,0.002828924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9088837,0.0007964979,0.00005920131,0.001426272,0.003364125,0.001195457,0.0002454929,0.0002093016,0.08381996],"genre_scores_gemma":[0.9674597,0.0006438613,0.00005981958,0.0003451669,0.001951073,0.00009268418,0.0001217898,0.0002764197,0.02904949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06125413,"threshold_uncertainty_score":0.9994528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188174709303823,"score_gpt":0.2455944705350454,"score_spread":0.2267769996046631,"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."}}