{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00165298,0.0005349166,0.0005892231,0.002356227,0.0003874761,0.002158639,0.0007171739,0.0003591784,0.02528573],"category_scores_gemma":[0.006201724,0.0003328203,0.0005633848,0.008997576,0.0002321579,0.0008309698,0.0007070309,0.001356757,0.0169101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170676,"about_ca_system_score_gemma":0.003219682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08393971,"about_ca_topic_score_gemma":0.05810159,"domain_scores_codex":[0.9979405,0.0003340631,0.0002124171,0.0003319132,0.0008875661,0.00029345],"domain_scores_gemma":[0.9912755,0.001642399,0.00163787,0.0009334843,0.004177451,0.0003333029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002916667,0.00009137424,0.08307029,0.0007520101,0.0001533468,0.0001031242,0.0003885661,0.001178536,0.0004167786,0.004668976,0.8660089,0.04287638],"study_design_scores_gemma":[0.00004867661,0.00004434373,0.3206069,0.0002150121,0.0001148304,0.00009380344,0.0008853649,0.001198739,0.001286978,0.00112347,0.6743375,0.00004429681],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02642228,0.001051968,0.002201543,0.002736143,0.0004076161,0.0001507202,0.8861618,0.0008792139,0.07998871],"genre_scores_gemma":[0.123528,0.002155609,0.002763849,0.0009837446,0.0002437459,0.0005408932,0.7673657,0.0006093933,0.101809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08393971,"threshold_uncertainty_score":0.1669022,"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."}}