{"id":"W2995444494","doi":"10.29379/jedem.v11i1.541","title":"A Case Study of New England Open Data Portals","year":2019,"lang":"en","type":"article","venue":"JeDEM - eJournal of eDemocracy and Open Government","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Open data; Open government; Agency (philosophy); Government (linguistics); Reuse; State (computer science); Business; Public relations; Public administration; Political science; World Wide Web; Computer science; Engineering; Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003286444,0.0001715334,0.0005599948,0.0000240295,0.0002724252,0.0005909637,0.002947373,0.00007799856,0.002104334],"category_scores_gemma":[0.000106319,0.0001412838,0.00004240601,0.0001953454,0.00006285685,0.002512988,0.003357652,0.0001683997,0.00001232808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009738187,"about_ca_system_score_gemma":0.000367695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03727261,"about_ca_topic_score_gemma":0.01640113,"domain_scores_codex":[0.9968985,0.0002473135,0.000677063,0.0004124706,0.001483617,0.0002810534],"domain_scores_gemma":[0.9977036,0.0003517534,0.0009432947,0.0006801741,0.00006258082,0.0002586735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009007106,0.002188424,0.8652795,0.0000899945,0.0007223093,0.000608073,0.05024428,0.00001852064,0.000184797,0.004000808,0.02431873,0.05144385],"study_design_scores_gemma":[0.01201767,0.001861748,0.02950775,0.0002465234,0.0002924486,0.0002550973,0.5173542,0.0001607797,0.0001542265,0.0009136362,0.436683,0.0005529959],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8938275,0.0001644605,0.000003184734,0.002657613,0.0003306691,0.001489246,0.00007420452,0.00000380694,0.1014493],"genre_scores_gemma":[0.9852698,0.0002362939,0.0002611737,0.0004115425,0.0001991224,0.000004196126,0.000005101224,0.00001296982,0.01359983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8357718,"threshold_uncertainty_score":0.9988079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143118519751542,"score_gpt":0.391212052685897,"score_spread":0.2769002007107428,"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."}}