{"id":"W4404293164","doi":"10.5860/dttp.v52i3.8343","title":"Visualizing the International Government Information Collection at University of Illinois in Urbana-Champaign","year":2024,"lang":"en","type":"article","venue":"DttP Documents to the People","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Government (linguistics); Regional science; Political science; Public administration; Data science; Media studies; Sociology; Computer science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007939112,0.00005310877,0.00005727609,0.00005086862,0.0003167311,0.0001494548,0.0003716475,0.0000308448,0.000958507],"category_scores_gemma":[0.00004372362,0.00003856345,0.00003841258,0.0005646441,0.0000355442,0.0006064032,0.0001635856,0.00005848039,0.0001227736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007985228,"about_ca_system_score_gemma":0.0000581494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01757166,"about_ca_topic_score_gemma":0.07387598,"domain_scores_codex":[0.9988518,0.00008039973,0.0001226609,0.00008489223,0.0007340621,0.0001262184],"domain_scores_gemma":[0.9996564,0.0001310657,0.00006195058,0.00008959985,0.00002986959,0.00003111111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001842936,0.0001035942,0.08492104,0.00004633929,0.00017135,0.000001968489,0.6948366,0.0006080398,0.0001754293,0.08592097,0.1259508,0.007079527],"study_design_scores_gemma":[0.0001407341,0.00002023022,0.01030488,0.00002515395,0.0000105598,2.505061e-7,0.06322835,0.001436948,0.00008587361,0.000222579,0.9244636,0.00006082472],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8731763,0.00008384482,0.0002671522,0.03357624,0.001164526,0.000478817,0.00004027484,0.00004215449,0.09117065],"genre_scores_gemma":[0.9885849,0.0001433311,0.00001973814,0.000377607,0.000070204,0.000004623871,0.000009552095,0.00000277581,0.01078727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7985128,"threshold_uncertainty_score":0.9999548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009041531779251597,"score_gpt":0.260292482263653,"score_spread":0.2512509504844014,"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."}}