{"id":"W4206476398","doi":"10.2196/26122","title":"Reversing the Antibiotic Resistance “Yelp Effect” Through the Use of Emotionally Framed Responses to Negative Reviews of Providers: Questionnaire Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Credibility; Resistance (ecology); Health care; Perception; Reputation; Psychology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007233479,0.0007135614,0.0005255641,0.0005886265,0.000977193,0.0007445964,0.0005483162,0.001014411,0.002496768],"category_scores_gemma":[0.01975111,0.0005724421,0.0007683665,0.0002782802,0.0009666558,0.0007532046,0.0009384442,0.001352179,0.0005519502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007052456,"about_ca_system_score_gemma":0.0008661886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000851158,"about_ca_topic_score_gemma":0.001010961,"domain_scores_codex":[0.995757,0.002593395,0.000338864,0.0003294029,0.0005641261,0.0004171451],"domain_scores_gemma":[0.9853688,0.009031569,0.002373276,0.0006862015,0.001700863,0.0008392332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002726701,0.05128196,0.5224656,0.003112313,0.0005219338,0.00223784,0.238838,0.001093817,0.03108308,0.0006794167,0.004634101,0.1413253],"study_design_scores_gemma":[0.0009710649,0.07931037,0.7955021,0.0004413081,0.000353982,0.001544368,0.08688159,0.003324696,0.01011436,0.0003957704,0.02086559,0.0002947589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983938,0.00003728718,0.0003593943,0.00005688567,0.000009449855,0.0005787082,0.00005054727,0.000006862569,0.0005071149],"genre_scores_gemma":[0.9925194,0.0002198821,0.00304481,0.0004955691,0.00002875862,0.002172985,0.0001243937,0.00001081772,0.001383325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007233479,"threshold_uncertainty_score":0.0382548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0781585688993518,"score_gpt":0.3848144875381057,"score_spread":0.3066559186387539,"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."}}