{"id":"W2327147379","doi":"10.7748/nm.21.3.14.s15","title":"International outlook - German and UK nurses can learn from each other","year":2014,"lang":"en","type":"article","venue":"Nursing Management","topic":"Social and Demographic Issues in Germany","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Navy","funders":"","keywords":"German; Political science; Nursing; Psychology; Medical education; Medicine; History","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":[0.0002296869,0.0001169468,0.000142746,0.0001049038,0.0004614909,0.00002263927,0.0001661026,0.00009149433,0.000828351],"category_scores_gemma":[0.00001636707,0.0001094213,0.00003632715,0.00007585148,0.0001139359,0.00003925811,0.00006871136,0.0002196658,0.0001475608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008298829,"about_ca_system_score_gemma":0.000006705807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005220154,"about_ca_topic_score_gemma":0.00005348331,"domain_scores_codex":[0.9988615,0.0001592085,0.0002140371,0.0002508627,0.0002328432,0.0002815621],"domain_scores_gemma":[0.9994946,0.00009819725,0.00009135704,0.0002096935,0.00003397398,0.00007220428],"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":[0.0001071953,0.0002443691,0.1742368,0.0001124839,0.00033161,0.00001184989,0.0606255,0.000004451851,0.0001078104,0.1184751,0.1637252,0.4820178],"study_design_scores_gemma":[0.0008573409,0.00002753522,0.1166731,0.0004185941,0.00007519717,3.121843e-7,0.004980215,0.0002867287,0.00001176535,0.02538279,0.851087,0.0001994093],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2412271,0.0001174273,0.001025788,0.005773638,0.005307667,0.0004186596,0.00001396711,0.0001618979,0.7459539],"genre_scores_gemma":[0.9692411,0.0000438607,0.001155791,0.002748399,0.001099851,0.00004343729,0.00003052479,0.00002545669,0.02561161],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.728014,"threshold_uncertainty_score":0.9069863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03066996913118518,"score_gpt":0.4034840037039771,"score_spread":0.3728140345727919,"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."}}