{"id":"W2518190440","doi":"10.7748/ns.26.37.18.s26","title":"Greek nurses reach","year":2012,"lang":"en","type":"article","venue":"Nursing Standard","topic":"Healthcare Systems and Challenges","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Austerity; Nursing; Medicine; 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":[0.001061558,0.0001436353,0.0002919953,0.0000698248,0.0007872409,0.000006638757,0.000101663,0.0002811636,0.0004271868],"category_scores_gemma":[0.0001136728,0.0001204538,0.00005397428,0.0001153489,0.0000704233,0.0001569912,0.00001389209,0.000612668,0.0003981152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005375532,"about_ca_system_score_gemma":0.0003520087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002078818,"about_ca_topic_score_gemma":0.00007168072,"domain_scores_codex":[0.9976177,0.0005043484,0.0003971805,0.0001811989,0.0003617792,0.0009378466],"domain_scores_gemma":[0.9988461,0.000183917,0.0001315697,0.0003289984,0.0001745619,0.0003348374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003194483,0.0001990176,0.07591562,0.000643186,0.00003914749,0.0000101035,0.1154528,3.245397e-7,0.0002111725,0.05874319,0.348375,0.4000911],"study_design_scores_gemma":[0.0005283547,0.0001219409,0.02852555,0.001460054,0.00001681387,0.00001194134,0.03150418,0.000002522571,0.00003549067,0.0007846563,0.9368157,0.0001927386],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4249179,0.009039593,0.001136861,0.01296041,0.01865978,0.001196814,0.0001271478,0.000608518,0.531353],"genre_scores_gemma":[0.9922569,0.0000734171,0.0005068079,0.0004122884,0.002535533,0.00004761276,0.000008880389,0.0000402215,0.004118274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5884408,"threshold_uncertainty_score":0.60549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1349695058452044,"score_gpt":0.5119074038628583,"score_spread":0.3769378980176539,"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."}}