{"id":"W2959600099","doi":"10.35724/mustek.v7i2.911","title":"ANALISIS AKSESIBILITAS TRANSPORTASI INTERNAL & EKSTERNAL KABUPATEN MERAUKE SEBAGAI SALAH SATU WILAYAH PERBATASAN NKRI – PNG","year":2018,"lang":"id","type":"article","venue":"MUSTEK ANIM HA","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Geography; Forestry","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009877559,0.0009955192,0.00170828,0.0007655851,0.0005680821,0.0005902915,0.001350551,0.0005628726,0.003711681],"category_scores_gemma":[0.0001363039,0.001191778,0.0009557142,0.0005561122,0.0008983944,0.0009689089,0.0002475689,0.0008789342,0.005283494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005302342,"about_ca_system_score_gemma":0.0001276739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007040268,"about_ca_topic_score_gemma":0.006002194,"domain_scores_codex":[0.9935867,0.0001005953,0.002586461,0.001822717,0.0001753564,0.001728144],"domain_scores_gemma":[0.9963424,0.0001484702,0.00108408,0.001426109,0.0001642897,0.0008346193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003526113,0.0003931138,0.9662553,0.0002620192,0.0006518331,0.00005537397,0.006385858,0.00002417921,0.0001401407,0.008989835,0.01535282,0.00113693],"study_design_scores_gemma":[0.002384506,0.0008559995,0.7797322,0.0002344227,0.0001984509,0.00008494605,0.001466897,0.001600138,0.0004986692,0.001434573,0.2096746,0.001834643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932136,0.003945569,0.0008422342,0.001425448,0.003189445,0.0004998224,0.0028955,0.0001344475,0.05493154],"genre_scores_gemma":[0.987922,0.0007977067,0.000229845,0.001685802,0.002422074,0.00003212095,0.0003200948,0.0001855348,0.006404877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1943218,"threshold_uncertainty_score":0.9995719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04284607573792458,"score_gpt":0.2432461184603704,"score_spread":0.2004000427224459,"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."}}