{"id":"W2511138523","doi":"10.7748/ns.26.25.24.s32","title":"Readers panel - Publish and be clamned","year":2012,"lang":"en","type":"article","venue":"Nursing Standard","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Norfolk General Hospital","funders":"","keywords":"Publication; Panel discussion; Computer science; Business; Advertising","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001276171,0.00009070115,0.00021628,0.00009608607,0.0001017279,0.0000363699,0.00003705265,0.0001162255,0.0001908338],"category_scores_gemma":[0.0115415,0.00007054563,0.00002819884,0.0001490209,0.0002565284,0.0002209286,0.000009619613,0.0003507677,0.000008842649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003039233,"about_ca_system_score_gemma":0.001257394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002135191,"about_ca_topic_score_gemma":0.000001237008,"domain_scores_codex":[0.9978808,0.00005046907,0.0001517672,0.0001354328,0.0007071203,0.001074412],"domain_scores_gemma":[0.9943991,0.0001157165,0.00002559336,0.0001727056,0.00009909655,0.005187841],"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":[0.0008723904,0.000157753,0.007876174,0.0002098931,0.00002189844,0.00002358064,0.004242565,1.749641e-8,0.000716174,0.0008101359,0.5024448,0.4826246],"study_design_scores_gemma":[0.002915239,0.0009038511,0.02910459,0.0007598193,0.00005623746,0.0001600535,0.002071639,0.00001372148,0.001271113,0.0002940017,0.9623105,0.0001392653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4998265,0.00475392,0.001885335,0.3731998,0.001397848,0.001015366,0.00006877544,0.000275249,0.1175772],"genre_scores_gemma":[0.9850481,0.0002180308,0.001643274,0.01105217,0.0006042569,0.000006370368,0.00002358123,0.00002242248,0.001381861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4852215,"threshold_uncertainty_score":0.9967847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2720036576715079,"score_gpt":0.4648911133547164,"score_spread":0.1928874556832086,"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."}}