{"id":"W4411718850","doi":"10.2196/67825","title":"Communicating Antimicrobial Resistance on Instagram: Content Analysis of #AntibioticResistance","year":2025,"lang":"en","type":"article","venue":"JMIR Infodemiology","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Resistance (ecology); Antimicrobial; Computer science; World Wide Web; Biology; Microbiology; Ecology","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":[0.008070137,0.0004534106,0.0004171907,0.007872944,0.0009514426,0.002250657,0.0004907056,0.0005014935,0.004934811],"category_scores_gemma":[0.04520032,0.0001933809,0.0006012084,0.007193379,0.001267225,0.002795859,0.002883811,0.0007075985,0.001132946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002029339,"about_ca_system_score_gemma":0.001626704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002412434,"about_ca_topic_score_gemma":0.004046924,"domain_scores_codex":[0.9937007,0.003262995,0.0006772559,0.0005363338,0.001456431,0.0003662205],"domain_scores_gemma":[0.9377922,0.04712484,0.005781751,0.001438287,0.00736356,0.0004993972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0009711234,0.0002327092,0.2066201,0.01237407,0.0001871098,0.001133003,0.386703,0.0005744995,0.01828307,0.00813563,0.02874711,0.3360386],"study_design_scores_gemma":[0.00004827066,0.0005291773,0.5746284,0.003928587,0.0003629851,0.001061162,0.2458944,0.006214307,0.01087186,0.003970761,0.152244,0.0002461595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955268,0.0008812387,0.008317648,0.001415362,0.0001695668,0.002090613,0.01539597,0.000262269,0.01619931],"genre_scores_gemma":[0.9471877,0.001225558,0.03268148,0.0005724564,0.0001687863,0.00517901,0.007483391,0.0003146984,0.005186894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008070137,"threshold_uncertainty_score":0.04267949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.036709739407722,"score_gpt":0.3106376668944208,"score_spread":0.2739279274866988,"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."}}