{"id":"W3131377039","doi":"","title":"PENERAPAN METODE SAW DAN TOPSIS SEBAGAI PERBANDINGAN HASIL SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI LAHAN TAMBAK PALING TERBAIK UNTUK DIJADIKAN USAHA TAMBAK AIR PAYAU","year":2018,"lang":"id","type":"article","venue":"","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Mathematics; Forestry; Humanities; Geography; Art","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003076082,0.001809732,0.001975068,0.001172104,0.002626929,0.001619876,0.005298562,0.0013885,0.0004012715],"category_scores_gemma":[0.0005271048,0.001756873,0.0008383531,0.003071001,0.001716704,0.002407343,0.002130648,0.001475136,0.001087504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260896,"about_ca_system_score_gemma":0.0008525438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001649414,"about_ca_topic_score_gemma":0.005371668,"domain_scores_codex":[0.9873419,0.001160751,0.002546062,0.003769449,0.002345207,0.002836663],"domain_scores_gemma":[0.9916258,0.0007549583,0.001271022,0.004108284,0.001179254,0.001060616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003449643,0.00407564,0.1751497,0.001758469,0.003660019,0.0009919661,0.03744398,0.0003089573,0.2518196,0.4236988,0.06009643,0.04065155],"study_design_scores_gemma":[0.00903292,0.005386092,0.03256331,0.003401162,0.001348044,0.002134787,0.01584163,0.1664949,0.4093559,0.003598134,0.3396202,0.01122288],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8065596,0.00284831,0.07960864,0.01650753,0.01128613,0.00336719,0.0001098207,0.004239765,0.07547303],"genre_scores_gemma":[0.938152,0.0001110026,0.01369885,0.0014262,0.002310519,0.0001634567,0.0000938224,0.000224024,0.04382012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4201007,"threshold_uncertainty_score":0.9999079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820963107139173,"score_gpt":0.2671850511245391,"score_spread":0.2389754200531474,"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."}}