{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001873767,0.0007779537,0.0006894292,0.003021135,0.003161172,0.006672167,0.0006999293,0.001315785,0.04454007],"category_scores_gemma":[0.007634612,0.0004286912,0.0004998504,0.003498122,0.0009290781,0.005670852,0.003126018,0.001433062,0.02237029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419471,"about_ca_system_score_gemma":0.002211136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01177838,"about_ca_topic_score_gemma":0.0192469,"domain_scores_codex":[0.9978608,0.000491511,0.0002177756,0.0004047223,0.0007375147,0.0002875979],"domain_scores_gemma":[0.9944641,0.001637316,0.0007499484,0.0005580211,0.001992406,0.0005981146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007239649,0.0002344227,0.1509009,0.003106327,0.0001595751,0.0016743,0.04095256,0.000887099,0.01390695,0.02762184,0.3119796,0.4478524],"study_design_scores_gemma":[0.00002373398,0.0001369751,0.08867791,0.0008976464,0.0001090581,0.0008352541,0.0333877,0.001990823,0.005531768,0.004974624,0.8632606,0.0001739479],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3182068,0.007889131,0.02463861,0.02265327,0.003299291,0.001239425,0.05000398,0.004268529,0.5678009],"genre_scores_gemma":[0.5796412,0.0082309,0.0235888,0.003955948,0.001464832,0.001019127,0.02563463,0.001367901,0.3550967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04454007,"threshold_uncertainty_score":0.1490014,"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."}}