{"id":"W3122900876","doi":"10.34123/semnasoffstat.v2020i1.604","title":"OFFICIAL STATISTICS UNTUK PEMODELAN INDEKS PENDIDIKAN MELALUI ANALISIS REGRESI DATA PANEL","year":2021,"lang":"id","type":"article","venue":"Seminar Nasional Official Statistics","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Political science; Humanities; Mathematics; 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"],"consensus_categories":[],"category_scores_codex":[0.002083866,0.0009409504,0.00124035,0.0003478233,0.0009731638,0.0006998939,0.00318961,0.0006743436,0.0007104448],"category_scores_gemma":[0.007420245,0.001034816,0.0001777101,0.001464541,0.0005484563,0.0005788578,0.002317399,0.001736028,0.0004309632],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000421222,"about_ca_system_score_gemma":0.009432016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005149799,"about_ca_topic_score_gemma":0.0008084055,"domain_scores_codex":[0.9899127,0.00151504,0.001765673,0.002242327,0.003109199,0.001455015],"domain_scores_gemma":[0.9869789,0.006197486,0.0009297934,0.00273792,0.002216662,0.0009392501],"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":[0.0002449548,0.001792058,0.0004790516,0.0003318751,0.0003706102,0.004415281,0.002633038,0.0003210448,0.0005161901,0.2987207,0.582256,0.1079192],"study_design_scores_gemma":[0.002554267,0.001280113,0.01376295,0.0008433292,0.001501575,0.0009375819,0.003299605,0.2304526,0.002396057,0.06042129,0.6786262,0.003924388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003769807,0.001932416,0.9373886,0.009296103,0.007832458,0.0005221821,0.03864633,0.000116892,0.0004952082],"genre_scores_gemma":[0.01258594,0.001486526,0.9509421,0.006901178,0.005972149,0.00002040128,0.01695067,0.000185443,0.004955573],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2382994,"threshold_uncertainty_score":0.9992102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1359475184775352,"score_gpt":0.3667211744782807,"score_spread":0.2307736560007455,"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."}}