{"id":"W4400721672","doi":"10.3390/antibiotics13070657","title":"Testing Different Message Styles about Unnecessary Antibiotics Using an Online Platform","year":2024,"lang":"en","type":"article","venue":"Antibiotics","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"","keywords":"Computer science; Antibiotics; Internet privacy; Microbiology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008954032,0.0005778868,0.0003879781,0.0005318028,0.0005807614,0.001476918,0.0004970022,0.0009341607,0.007551035],"category_scores_gemma":[0.04302756,0.0003480225,0.000792479,0.0002597881,0.0007078335,0.00208006,0.000827919,0.001599825,0.0007777662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004911447,"about_ca_system_score_gemma":0.0006269189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007725621,"about_ca_topic_score_gemma":0.0007133336,"domain_scores_codex":[0.9930387,0.0043718,0.0006864697,0.0005116648,0.0009970127,0.0003943213],"domain_scores_gemma":[0.9339816,0.05543548,0.005062549,0.001911325,0.002239295,0.001369758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05485336,0.114631,0.5238141,0.002652101,0.001073591,0.0006886968,0.07849317,0.002197807,0.04526454,0.00265024,0.001969533,0.1717119],"study_design_scores_gemma":[0.005587453,0.2253671,0.6972645,0.0004541712,0.001134788,0.0003956326,0.02253511,0.008879207,0.0290917,0.002678528,0.006315258,0.0002966239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982986,0.00001389679,0.0002103465,0.00005383295,0.00001958573,0.0003050193,0.00003749282,0.000005703981,0.001055434],"genre_scores_gemma":[0.9947837,0.00004855952,0.002175732,0.0001609475,0.0000454448,0.00161553,0.00008991964,0.000007155143,0.001073097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008954032,"threshold_uncertainty_score":0.04735404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06841994469215751,"score_gpt":0.2952946825662443,"score_spread":0.2268747378740868,"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."}}