{"id":"W4244971232","doi":"10.31235/osf.io/ut8r9","title":"Can the EU Buy Public Support?","year":2019,"lang":"en","type":"preprint","venue":"","topic":"European Union Policy and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Regression discontinuity design; European union; Public opinion; Quarter (Canadian coin); Politics; Point (geometry); Member state; Member states; Political science; State (computer science); Public fund; Business; Economic policy; Public administration; Computer science; Geography; Law; Statistics; Mathematics","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":["insufficient_payload"],"category_scores_codex":[0.0009847928,0.0001315977,0.0001458058,0.00003075249,0.0003347082,0.0003132368,0.001188906,0.0001495361,0.00248342],"category_scores_gemma":[0.0003894182,0.00008730309,0.0001186493,0.0001242444,0.0002799287,0.00006753841,0.0005776004,0.0004957263,0.0009479398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008307934,"about_ca_system_score_gemma":0.0009250356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02420966,"about_ca_topic_score_gemma":0.02058571,"domain_scores_codex":[0.9983755,0.0003504174,0.0001769227,0.0002848384,0.000440291,0.000372024],"domain_scores_gemma":[0.9988819,0.0001308434,0.0001911547,0.0005958147,0.00008640069,0.0001138811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[7.421075e-7,0.00001024132,0.0005177552,0.000007529099,0.00001169227,0.000001810904,0.004024407,0.000006649071,6.169752e-7,0.835126,0.1592276,0.00106503],"study_design_scores_gemma":[0.00004424298,0.000005995259,0.004733384,0.00001031099,0.000005408327,3.118605e-7,0.0006580693,0.000004264228,0.000007326213,0.00440053,0.9899921,0.0001380657],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001946465,0.00005660154,0.00003332521,0.1213542,0.001131746,0.0002494492,0.00005139114,0.00009431098,0.8750825],"genre_scores_gemma":[0.6917441,0.00034801,0.00002190395,0.008765469,0.0005797583,0.000006218423,0.00000872318,0.00001162843,0.2985142],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8307645,"threshold_uncertainty_score":0.9998299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06393450276691184,"score_gpt":0.3218850828784098,"score_spread":0.257950580111498,"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."}}