{"id":"W6977652133","doi":"10.7802/2618","title":"PolicyVotes Database on Political Responsiveness","year":2023,"lang":"en","type":"dataset","venue":"Research Publications (Maastricht University)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Politics; Eurobarometer; Work (physics); Government (linguistics)","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":[0.001290508,0.001482418,0.001271959,0.00418063,0.000741765,0.002833035,0.002353197,0.002045339,0.1220587],"category_scores_gemma":[0.008630231,0.0009019597,0.001207665,0.01380885,0.0003232848,0.001807939,0.002086418,0.002590055,0.1360838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002005107,"about_ca_system_score_gemma":0.004456616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06428254,"about_ca_topic_score_gemma":0.05831319,"domain_scores_codex":[0.9985219,0.0002441345,0.0002085095,0.0002993008,0.0004350677,0.0002910763],"domain_scores_gemma":[0.9960812,0.001060856,0.0004272387,0.0006946396,0.001380377,0.0003557336],"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":[0.00001791386,0.000007692218,0.0002533121,0.0001543814,0.000008691895,0.000005449976,0.000009380388,0.000130644,0.00001560573,0.0004804456,0.9978733,0.001043177],"study_design_scores_gemma":[0.0001397838,0.000007655495,0.003373179,0.0002354907,0.00001312457,0.00001826586,0.00007180074,0.0002352016,0.0001014142,0.001246008,0.9945378,0.00002025488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004930044,0.00002861807,0.00003050066,0.00006961824,0.00001746337,0.000004918057,0.9989022,0.0000892256,0.00080807],"genre_scores_gemma":[0.0003630462,0.00006367841,0.0001347381,0.00005425666,0.00001046032,0.00007744473,0.9981079,0.00008133408,0.001107109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1220587,"threshold_uncertainty_score":0.4083271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1969359029422466,"score_gpt":0.4199419022356562,"score_spread":0.2230059992934096,"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."}}