{"id":"W4392459278","doi":"10.3390/idr16020017","title":"Tackling Infectious Diseases with Rapid Molecular Diagnosis and Innovative Prevention","year":2024,"lang":"en","type":"article","venue":"Infectious Disease Reports","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Medicine; Context (archaeology); Adaptability; Translational research; Engineering ethics; Pathology; Management; Engineering","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":[0.0001086919,0.0002264337,0.0002338023,0.0001831407,0.0002044452,0.00008199657,0.00003197138,0.000108816,0.0001822922],"category_scores_gemma":[0.0001165981,0.0001773051,0.00008818084,0.0004533662,0.0002282659,0.0001822498,0.00004839411,0.0001940658,0.00004794682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005240086,"about_ca_system_score_gemma":0.0002224915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003814633,"about_ca_topic_score_gemma":0.0000176161,"domain_scores_codex":[0.9987729,0.00009549097,0.0002934993,0.0005101772,0.00006303925,0.0002648815],"domain_scores_gemma":[0.999342,0.00008395257,0.0001248661,0.0002558371,0.0001211491,0.00007222139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001688362,0.0009005382,0.931492,0.001061036,0.001718231,0.01064973,0.0003246335,0.00010301,0.01057465,0.003398006,0.003435794,0.03617358],"study_design_scores_gemma":[0.005848422,0.00313629,0.662394,0.01039904,0.006514755,0.01446985,0.0005454879,0.00008878456,0.08414619,0.04347845,0.1639141,0.005064571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565841,0.03832393,0.001749038,0.0001060251,0.0006757231,0.0004298429,0.00002090831,0.0004686907,0.001641744],"genre_scores_gemma":[0.998227,0.0009075635,0.000007827909,0.00009712122,0.00004765132,0.00009224324,0.00009158243,0.00003476659,0.0004942333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2690979,"threshold_uncertainty_score":0.7230292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00466896529620552,"score_gpt":0.2368193640285831,"score_spread":0.2321503987323776,"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."}}