{"id":"W3122679125","doi":"","title":"Scientific Advice to Public Policy-Making","year":2004,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitat Autònoma de Barcelona; Università di Cagliari; Abdus Salam International Centre for Theoretical Physics; University College London","keywords":"Advice (programming); Context (archaeology); Set (abstract data type); Process (computing); Political science; Public policy; Science policy; Public relations; Policy making; Commission; European commission; Discipline; Management science; Public administration; Business; Computer science; Economics; European union; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"grok","categories":["sts"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"opus","categories":["sts"],"domain":null,"study_design":"theoretical_or_conceptual","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01102333,0.0007863504,0.001169688,0.004189604,0.00115431,0.004845154,0.003754083,0.0005952138,0.01449862],"category_scores_gemma":[0.005917795,0.0007230641,0.0006361665,0.002516743,0.000778378,0.001181896,0.002516475,0.001236888,0.01706124],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002343719,"about_ca_system_score_gemma":0.01714828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002305433,"about_ca_topic_score_gemma":0.001938353,"domain_scores_codex":[0.989408,0.0005440923,0.002402277,0.00264375,0.003734388,0.001267466],"domain_scores_gemma":[0.9912345,0.0009722417,0.001437918,0.003512023,0.00196095,0.0008823783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004699796,0.0004146382,0.7842629,0.0001143471,0.0002013105,0.00003268727,0.00423911,0.01129027,0.0001590377,0.0388879,0.127303,0.03304785],"study_design_scores_gemma":[0.001222619,0.0001538481,0.167624,0.0006044977,0.00007259671,0.00010406,0.001382374,0.004719629,0.000201115,0.04516672,0.7766682,0.002080305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8050431,0.0005889677,0.002510672,0.01488624,0.01547597,0.001320666,0.0003002479,0.0004262045,0.1594479],"genre_scores_gemma":[0.9744603,0.0000232127,0.004645708,0.003614991,0.001407179,0.0002443563,0.00007054899,0.0000680122,0.01546568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6493652,"threshold_uncertainty_score":0.999522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1261950932722345,"score_gpt":0.4407754203900984,"score_spread":0.3145803271178639,"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."}}