{"id":"W4281818651","doi":"10.1017/9781108938914","title":"Policy Feedback","year":2022,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"University of Cambridge","keywords":"Scholarship; Element (criminal law); Politics; Meaning (existential); Political science; Policy studies; Public administration; Positive economics; Public relations; Sociology; Public policy; Epistemology; Economics; Law","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002333686,0.0002658979,0.0003881261,0.0002454485,0.002655145,0.00005120302,0.0008184685,0.0003798582,0.00002019731],"category_scores_gemma":[0.00007570699,0.0003105637,0.0003152998,0.00005571846,0.001085063,0.00008548966,0.000711537,0.0006163811,0.00002823085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482366,"about_ca_system_score_gemma":0.002224386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01158933,"about_ca_topic_score_gemma":0.000117441,"domain_scores_codex":[0.9981391,0.0002475367,0.000141762,0.0003707828,0.0005537639,0.0005470411],"domain_scores_gemma":[0.9990449,0.0001285704,0.0002046688,0.0002965668,0.0001091014,0.0002162002],"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":[0.00001580034,0.000006478113,8.943888e-7,0.00001982585,0.00009076631,0.00004379533,0.001947262,2.6988e-7,3.023316e-7,0.6416216,0.3554958,0.0007572697],"study_design_scores_gemma":[0.0002585278,0.000022983,0.00001514154,0.00002343299,0.0000943879,9.533117e-7,0.002801695,2.976073e-7,0.000002397737,0.0002566413,0.9961739,0.0003495952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001818706,0.00009534903,0.000003892243,0.0004797115,0.0005790478,0.0004126824,0.0003304358,0.0002352068,0.9978455],"genre_scores_gemma":[0.00007883911,0.0008699425,0.000009133733,0.0003156576,0.002375327,0.000002191496,0.00003746317,0.00003320399,0.9962782],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6413649,"threshold_uncertainty_score":0.9999347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03118983769186911,"score_gpt":0.2664851485498322,"score_spread":0.2352953108579631,"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."}}