{"id":"W2962886284","doi":"10.1097/01.npr.0000574660.34486.a5","title":"Preventable diseases","year":2019,"lang":"en","type":"article","venue":"The Nurse Practitioner","topic":"Infection Control in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Family medicine; Gerontology; Medicine; Psychology; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001283632,0.00006849243,0.0001152299,0.00003465372,0.00009701036,0.00001627468,0.00004176122,0.00003892187,0.004900314],"category_scores_gemma":[0.000132051,0.00004341918,0.00006256619,0.0001008289,0.00002353316,0.0001813823,0.000006130337,0.0001867456,0.003396462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007749108,"about_ca_system_score_gemma":0.0001038568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007693265,"about_ca_topic_score_gemma":0.000003800002,"domain_scores_codex":[0.9993476,0.0000804302,0.0001182156,0.000125465,0.0001811716,0.0001470753],"domain_scores_gemma":[0.9992472,0.0001496849,0.00006683849,0.0003473974,0.0001183194,0.00007057054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002697679,0.002105768,0.6744346,0.0006648637,0.0006020669,0.00005971981,0.001556039,0.0005106498,0.01249948,0.06768177,0.2104884,0.02669896],"study_design_scores_gemma":[0.002679603,0.0003739169,0.4453382,0.0001594866,0.0003505108,0.0004007541,0.0009715357,0.000757397,0.0009854099,0.001974101,0.5457995,0.0002095643],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6189184,0.000937907,0.0002911945,0.09363037,0.003381709,0.002832283,0.00004161819,0.0004100673,0.2795565],"genre_scores_gemma":[0.966517,0.00001692612,0.00006067747,0.003487279,0.0003992528,0.00006839769,0.00002851644,0.00001560886,0.02940636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3475986,"threshold_uncertainty_score":0.9973795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216296005240451,"score_gpt":0.3174914791340873,"score_spread":0.3053285190816827,"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."}}