{"id":"W2041467858","doi":"10.1097/nan.0b013e3181c65cc9","title":"Needleless Connectors","year":2010,"lang":"en","type":"article","venue":"Journal of Infusion Nursing","topic":"Surgical Sutures and Adhesives","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nurses Association","funders":"","keywords":"Computer science; Medicine; Intensive care medicine","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":[0.0001775003,0.0000618276,0.0001996446,0.0001026442,0.0000518353,0.00001592549,0.00005192228,0.00007159117,0.0006181859],"category_scores_gemma":[0.0002165317,0.00003920344,0.0001502681,0.0001008686,0.00005387499,0.00006707976,0.000006427189,0.0004251279,0.000006125753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001930509,"about_ca_system_score_gemma":0.00005147777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002019046,"about_ca_topic_score_gemma":4.899156e-7,"domain_scores_codex":[0.9993519,0.00001310503,0.0002524186,0.00004807123,0.0002238287,0.0001107202],"domain_scores_gemma":[0.9993332,0.00008406639,0.0001671378,0.00007425377,0.0001630194,0.0001783104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004222745,0.0002681227,0.01471622,0.00001511154,0.00002751498,0.0002146473,0.0006069859,0.00000471438,0.8671632,0.0007838396,0.004520241,0.1112571],"study_design_scores_gemma":[0.006301941,0.001740638,0.6639356,0.002680465,0.000301973,0.009691061,0.003467188,0.0002893842,0.1681246,0.002466715,0.1406261,0.000374319],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99061,0.0001815452,0.00004825978,0.002793927,0.001444349,0.000035104,2.189017e-7,0.000007573655,0.004879016],"genre_scores_gemma":[0.9975734,0.00003140011,0.001048553,0.0002747368,0.0009362769,9.227163e-8,3.546128e-7,0.000007540539,0.0001276319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6990386,"threshold_uncertainty_score":0.6768702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009918500206137463,"score_gpt":0.3004178786011762,"score_spread":0.2904993783950388,"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."}}