{"id":"W3024521343","doi":"10.7748/ns.31.3.26.s24","title":"Stake your claim for universal credit","year":2016,"lang":"en","type":"article","venue":"Nursing Standard","topic":"Health Services Management and Policy","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Navy","funders":"","keywords":"Business; Actuarial science","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":[],"consensus_categories":[],"category_scores_codex":[0.0006452345,0.0001373701,0.0002262974,0.0001225774,0.0008234685,0.00001024871,0.0001902259,0.0001622697,0.000855513],"category_scores_gemma":[0.00008751589,0.00009847692,0.00006232069,0.0001401273,0.0000626652,0.0001765465,0.00002653723,0.0001730908,0.0002487226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006732453,"about_ca_system_score_gemma":0.0004265161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007127957,"about_ca_topic_score_gemma":0.0001019442,"domain_scores_codex":[0.9982401,0.0001553088,0.0003371613,0.0002464703,0.0002416952,0.0007793225],"domain_scores_gemma":[0.9987525,0.0003837755,0.0001616059,0.0002933169,0.0002043082,0.0002044575],"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":[0.001185876,0.00004141542,0.003713804,0.000483376,0.00003266547,0.000003011447,0.008258685,7.049179e-7,0.0001750566,0.09159113,0.7170527,0.1774616],"study_design_scores_gemma":[0.002559106,0.0002474438,0.002551326,0.001018274,0.00003123877,1.808934e-7,0.002596173,0.00002386362,0.00002386884,0.008045881,0.9827533,0.000149286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1722414,0.0003228985,0.1199167,0.2289377,0.01518993,0.005629345,0.002408283,0.001281371,0.4540722],"genre_scores_gemma":[0.8669428,0.0002085191,0.00721348,0.0111535,0.008487973,0.0002199649,0.00008963252,0.0001929441,0.1054911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6947014,"threshold_uncertainty_score":0.9367267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1245756955765194,"score_gpt":0.4903965017290953,"score_spread":0.3658208061525759,"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."}}