{"id":"W3025239517","doi":"10.34123/semnasoffstat.v2019i1.109","title":"IDENTIFIKASI TEMPAT TINGGAL, BEKERJA/DOMISILI DAN TUJUAN BERLIBUR PENDUDUK DENGAN DATA TWITTER","year":2020,"lang":"id","type":"article","venue":"Seminar Nasional Official Statistics","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Humanities; 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001862047,0.0006288477,0.0009308343,0.0001519948,0.002182374,0.0006254863,0.002318405,0.0004383797,0.001932773],"category_scores_gemma":[0.004429852,0.0006937044,0.0002624395,0.001184642,0.001134614,0.0004754378,0.0008076128,0.0009831055,0.001686215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003112529,"about_ca_system_score_gemma":0.00177633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004752943,"about_ca_topic_score_gemma":0.01201163,"domain_scores_codex":[0.9926895,0.001053023,0.001413197,0.001599036,0.002265125,0.0009801205],"domain_scores_gemma":[0.994688,0.001875498,0.0007024166,0.001080153,0.0006606883,0.000993284],"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":[0.0009465541,0.002657586,0.009056473,0.0009618031,0.001160046,0.0008284462,0.08275614,0.0007907119,0.004555852,0.01972855,0.8256961,0.05086182],"study_design_scores_gemma":[0.002996034,0.001331444,0.01315201,0.000849724,0.003680059,0.00001507531,0.07912415,0.07503872,0.001697979,0.003556253,0.81446,0.004098559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8212059,0.003932157,0.1008387,0.02993867,0.00641313,0.004107142,0.02677402,0.0008095078,0.005980785],"genre_scores_gemma":[0.9790606,0.0002971779,0.002310345,0.002355615,0.004180823,0.00001332233,0.005858005,0.0001032347,0.00582085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1578548,"threshold_uncertainty_score":0.9995514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016623403781064,"score_gpt":0.348010238313688,"score_spread":0.2463478979355816,"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."}}