{"id":"W2412794531","doi":"10.1097/psn.0b013e3182577362","title":"Request for Articles","year":2012,"lang":"en","type":"article","venue":"Plastic Surgical Nursing","topic":"Nursing Education, Practice, and Leadership","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Management; Library science; Engineering; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006337282,0.0001824095,0.0002111654,0.000112499,0.0003248888,0.0001054815,0.0001262849,0.0001233836,0.0001405493],"category_scores_gemma":[0.001159545,0.0001748446,0.0001003291,0.0002249688,0.0001877261,0.0005327355,0.000002623394,0.00020746,0.0001552355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001893955,"about_ca_system_score_gemma":0.00002989277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001351977,"about_ca_topic_score_gemma":0.000001558662,"domain_scores_codex":[0.9982456,0.0001474711,0.0002870439,0.0002539942,0.0002693375,0.0007965521],"domain_scores_gemma":[0.9954576,0.003831533,0.0001041708,0.0002103903,0.00007942814,0.0003168567],"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":[0.01281864,0.01174237,0.083055,0.0006860901,0.0002163312,0.0000236505,0.08647658,0.0001770131,0.01266652,0.07931051,0.1336779,0.5791494],"study_design_scores_gemma":[0.006622561,0.001182439,0.07411251,0.001909577,0.001177779,0.001098132,0.0189899,0.004105669,0.02583281,0.02146399,0.8413162,0.002188491],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9159055,0.002737034,0.00678504,0.02324212,0.03593991,0.0006450938,0.00001368082,0.0005473985,0.01418422],"genre_scores_gemma":[0.9937543,0.000002368355,0.002728535,0.0002041082,0.002992569,0.00002519133,0.00002156531,0.00004614615,0.0002252046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7076382,"threshold_uncertainty_score":0.7129954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05299951479517483,"score_gpt":0.3444513319451213,"score_spread":0.2914518171499465,"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."}}