{"id":"W2153746251","doi":"10.1017/s0047279414000373","title":"Personalisation and Austerity in the Crosshairs: Government Perspectives on the Remaking of Adult Social Care","year":2014,"lang":"en","type":"article","venue":"Journal of Social Policy","topic":"Healthcare innovation and challenges","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of the United Kingdom","keywords":"Austerity; Localism; Politics; Government (linguistics); Appeal; Personalization; Political science; Social exclusion; Public administration; Public relations; Political economy; Economic growth; Sociology; Business; Economics; Marketing; 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":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001407169,0.0000524868,0.0001213585,0.00004044273,0.0005916068,0.00005309876,0.0001475881,0.00007427105,0.00001176098],"category_scores_gemma":[0.0008460091,0.00003326089,0.00006083456,0.0002027163,0.0002854258,0.00008805016,0.00001229631,0.000229991,3.68026e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003417152,"about_ca_system_score_gemma":0.0001832189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00103753,"about_ca_topic_score_gemma":0.001975388,"domain_scores_codex":[0.9983881,0.0005526649,0.0002352797,0.0000564989,0.0006417704,0.0001256761],"domain_scores_gemma":[0.999132,0.0001634243,0.0003443331,0.00003315483,0.0003064293,0.00002069615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001846538,0.00001899013,0.000428606,0.0000109877,0.000004846307,2.581361e-7,0.5726457,1.162109e-7,0.00001837672,0.4208021,0.0001982285,0.005853343],"study_design_scores_gemma":[0.0002062712,0.00007214885,0.06839446,0.00002812652,0.000004019206,7.554932e-7,0.9199866,0.000002082088,0.000009332306,0.002096469,0.009162026,0.00003772507],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7702601,0.00004196433,0.000004378018,0.2208695,0.0000465777,0.0000694429,0.000004199263,0.000002074779,0.008701743],"genre_scores_gemma":[0.995844,0.00007664768,0.000009520084,0.00153396,0.002508713,0.000001684981,1.223701e-7,0.000003359174,0.00002198309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4187056,"threshold_uncertainty_score":0.4550221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05658850690784973,"score_gpt":0.3988525888462673,"score_spread":0.3422640819384176,"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."}}