{"id":"W2320298928","doi":"10.7748/ns.30.31.31.s39","title":"Where were nurses’ protests against cruel benefits cuts?","year":2016,"lang":"en","type":"letter","venue":"Nursing Standard","topic":"Healthcare Systems and Challenges","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Navy","funders":"","keywords":"Payment; Voting; Psychology; Political science; Business; Nursing; Medicine; Law; Finance; Politics","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","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.001057738,0.000912084,0.001561943,0.0003242874,0.001766546,0.00006192803,0.0006592939,0.004787219,0.0008359905],"category_scores_gemma":[0.0001854188,0.0006959703,0.0003175943,0.0001903303,0.0002535283,0.0001944613,0.00007466907,0.007250614,0.001172537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0026729,"about_ca_system_score_gemma":0.002779159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001324,"about_ca_topic_score_gemma":0.0003795324,"domain_scores_codex":[0.991677,0.001519022,0.001500197,0.001264981,0.001543322,0.002495512],"domain_scores_gemma":[0.9954458,0.0006206784,0.001025656,0.001478289,0.001032169,0.000397337],"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":[0.00006664183,0.00001653852,0.0002517426,0.003070658,0.00005193778,0.0001253541,0.003148608,1.739374e-7,0.0000067185,0.0003681955,0.816417,0.1764764],"study_design_scores_gemma":[0.001050101,0.0002527524,0.000184819,0.06397072,0.00004623888,0.00001117569,0.001671941,0.000001075014,0.000005485058,0.0006915003,0.9313605,0.0007536881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006222631,0.01073309,0.00009160156,0.8550187,0.016104,0.003625609,0.002348745,0.0006197094,0.1108362],"genre_scores_gemma":[0.003825465,0.005419606,0.0006451476,0.7056446,0.1292409,0.002002029,0.0006677542,0.001256398,0.1512981],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1757227,"threshold_uncertainty_score":0.9996052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07363687465793088,"score_gpt":0.4278709865233598,"score_spread":0.3542341118654289,"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."}}