{"id":"W3191671835","doi":"10.31092/irj.v1i1.4","title":"ANALISIS OPTIMALISASI EKS BMN IDLE (Studi Kasus Eks BMN Idle Berupa Tanah Dan Bangunan Rumah Negara Golongan II di Jl. Letjend Suprapto No. 31 Jember)","year":2020,"lang":"id","type":"article","venue":"Indonesian Rich Journal","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Idle; Humanities; Physics; Computer science; Business; Art; Operating system","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":[0.001553018,0.001582354,0.001688414,0.001460684,0.003087997,0.004128308,0.002368515,0.0006532528,0.003322395],"category_scores_gemma":[0.0005656991,0.001590391,0.000917905,0.003415186,0.000367747,0.004497726,0.001745906,0.002023321,0.000902862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003227624,"about_ca_system_score_gemma":0.0002256132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004153455,"about_ca_topic_score_gemma":0.0001281969,"domain_scores_codex":[0.9917783,0.0002831291,0.00242669,0.001559439,0.001895292,0.002057221],"domain_scores_gemma":[0.9944604,0.000130554,0.00245226,0.001008449,0.001427176,0.0005211608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0010259,0.001532937,0.2093176,0.001374036,0.002132038,0.002705429,0.002125003,0.001343036,0.0005401332,0.003555734,0.7670646,0.007283533],"study_design_scores_gemma":[0.01024385,0.001303173,0.05431537,0.001634712,0.003858279,0.0002689326,0.007811099,0.02323553,0.000993227,0.0003744608,0.8899137,0.006047641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6292943,0.0092267,0.02349438,0.05061635,0.008305067,0.005398856,0.000162169,0.002632911,0.2708693],"genre_scores_gemma":[0.9654973,0.002472351,0.003334538,0.007958185,0.01221803,0.00009714231,0.000399733,0.0004543111,0.007568464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.336203,"threshold_uncertainty_score":0.9998751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01865972313144263,"score_gpt":0.229682809674932,"score_spread":0.2110230865434894,"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."}}