{"id":"W4393089401","doi":"10.5267/j.dsl.2024.2.003","title":"Analysis of rural peat environmental risk using PROMETHEE method in Riau province, Indonesia","year":2024,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peat; Geography; Environmental science; Environmental protection; Environmental planning; Environmental resource management; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00121765,0.0003148937,0.0003539311,0.001633639,0.0003569007,0.0007792892,0.0003852893,0.0002340066,0.0007853414],"category_scores_gemma":[0.002014348,0.0001536366,0.0006337243,0.00115709,0.0003359106,0.0003823624,0.0007067709,0.0003541147,0.00008911636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000829354,"about_ca_system_score_gemma":0.0006624404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01599825,"about_ca_topic_score_gemma":0.020685,"domain_scores_codex":[0.9994604,0.0002389955,0.00004063031,0.00008194784,0.0001166135,0.00006140133],"domain_scores_gemma":[0.9989512,0.0006651298,0.0001478864,0.00006154065,0.0001280061,0.0000462282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003449773,0.0002738451,0.7764261,0.0002833871,0.0003798849,0.002393001,0.001641622,0.14166,0.004629917,0.003942443,0.0007168334,0.06730807],"study_design_scores_gemma":[0.00001158375,0.0001315308,0.6433476,0.00005876625,0.0001003845,0.0006362165,0.005752525,0.341103,0.003173789,0.003724962,0.001894578,0.0000651239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897414,0.00007529397,0.007612769,0.0000565741,0.000003706993,0.00004296914,0.0005249936,0.00002055927,0.001921786],"genre_scores_gemma":[0.9952809,0.00005389349,0.00379187,0.000005098304,0.000001905055,0.0000440931,0.0002883488,0.000004450939,0.0005293985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01599825,"threshold_uncertainty_score":0.03181022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711560664518497,"score_gpt":0.2666173542754102,"score_spread":0.2495017476302252,"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."}}