{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000449005,0.0005725097,0.0004774213,0.001056559,0.001000761,0.001406918,0.0003308784,0.0008025308,0.01090858],"category_scores_gemma":[0.0004655366,0.0003110491,0.0005505311,0.001041365,0.0003253719,0.0007236273,0.0007870942,0.0009143584,0.002940378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005595608,"about_ca_system_score_gemma":0.001041381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007023266,"about_ca_topic_score_gemma":0.01875426,"domain_scores_codex":[0.9996321,0.00006612648,0.00001722313,0.00009094741,0.0001204655,0.00007298288],"domain_scores_gemma":[0.9997333,0.00005282799,0.00003961425,0.00002182334,0.0001236805,0.00002883171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008071139,0.0003326299,0.06939179,0.00196267,0.0002188886,0.002214954,0.004092558,0.0005453633,0.7993326,0.001897428,0.004585855,0.1146182],"study_design_scores_gemma":[0.000067188,0.001748887,0.3675464,0.001040419,0.000489787,0.003300373,0.01206902,0.001785409,0.2752389,0.001676504,0.3348987,0.0001383898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9279367,0.01347995,0.00866961,0.001276149,0.000192407,0.0004761324,0.005101055,0.0002658873,0.0426021],"genre_scores_gemma":[0.9001039,0.008034428,0.0133778,0.0007350592,0.00004517558,0.0003578896,0.004319225,0.000109521,0.07291703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01090858,"threshold_uncertainty_score":0.03649282,"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."}}