{"id":"W4408159815","doi":"10.7748/ns.40.3.15.s5","title":"Tackle FtP backlogs and reflect diversity – the NMC was told to detoxify, so how’s that going?","year":2025,"lang":"en","type":"article","venue":"Nursing Standard","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"File Transfer Protocol; Diversity (politics); Computer science; Business; Operating system; Political science; 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":[],"consensus_categories":[],"category_scores_codex":[0.001148183,0.0001489022,0.0003081712,0.0002175948,0.0008527435,0.0001058947,0.0002248415,0.00008374576,0.00005686255],"category_scores_gemma":[0.0006623311,0.00009584409,0.00006118177,0.0006082706,0.0006457997,0.00009107686,0.0001738214,0.000316447,0.00001017882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003417689,"about_ca_system_score_gemma":0.0003176891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006543523,"about_ca_topic_score_gemma":0.00008118815,"domain_scores_codex":[0.9981496,0.00007866606,0.0001011458,0.0003851694,0.0008020691,0.0004833685],"domain_scores_gemma":[0.9988844,0.0002154821,0.00003239444,0.0004135924,0.0001664812,0.000287663],"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":[0.002871608,0.0001385889,0.07827979,0.0001906161,0.0001081061,0.0001285702,0.01363255,0.000001994426,0.01257215,0.002570132,0.6258823,0.2636236],"study_design_scores_gemma":[0.006911451,0.002915968,0.1763047,0.004226792,0.0005148113,0.0001600814,0.01601896,0.0001829398,0.04012648,0.002989099,0.7491457,0.0005029539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8345557,0.001808091,0.002516233,0.1180128,0.001004561,0.0007825348,0.00002284939,0.0001065597,0.04119071],"genre_scores_gemma":[0.9829756,0.0001716992,0.0005454285,0.003878651,0.0001509528,0.000005467764,0.000003719423,0.00001033305,0.01225815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2631206,"threshold_uncertainty_score":0.65587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03852089110546689,"score_gpt":0.3719017917747553,"score_spread":0.3333809006692884,"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."}}