{"id":"W4323642633","doi":"10.1017/jme.2022.79","title":"Using the International Pandemic Instrument to Revitalize the Innovation Ecosystem for Antimicrobial R&D","year":2022,"lang":"en","type":"article","venue":"The Journal of Law Medicine & Ethics","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research; Novo Nordisk Fonden; Novo Nordisk; Public Health Agency; Public Health Agency of Canada; University of Cambridge; Government of Canada; Wellcome Trust","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Antimicrobial; Ecosystem; Medicine; Ecology; Microbiology; Biology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02788535,0.0004722868,0.0003172425,0.001365114,0.005052143,0.01206699,0.001112134,0.01105281,0.004679952],"category_scores_gemma":[0.01720674,0.0003832755,0.0008590337,0.0006094394,0.02473819,0.01022654,0.0119892,0.01256243,0.0009809994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006380586,"about_ca_system_score_gemma":0.01727897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001554963,"about_ca_topic_score_gemma":0.002523525,"domain_scores_codex":[0.9840354,0.007392719,0.0005922876,0.001234434,0.004440374,0.002304689],"domain_scores_gemma":[0.9775768,0.009705547,0.002717645,0.003190614,0.002955409,0.003854053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001810503,0.00007021127,0.001216786,0.00006432542,0.000006293305,0.0001986115,0.002230585,0.0002331596,0.001033487,0.9589756,0.01613407,0.0198188],"study_design_scores_gemma":[0.00003556878,0.0001830895,0.001851231,0.0003740994,0.000009848876,0.0005102921,0.003340628,0.0007436574,0.001560953,0.2194363,0.7718866,0.000067559],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0276287,0.005337522,0.02978061,0.6140912,0.00429301,0.000160882,0.00004935424,0.0002222578,0.3184364],"genre_scores_gemma":[0.6220897,0.005196212,0.04223822,0.2639579,0.003361947,0.0003619397,0.00006006457,0.0001497608,0.06258418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02788535,"threshold_uncertainty_score":0.1474736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1946031943511072,"score_gpt":0.3881048052368267,"score_spread":0.1935016108857195,"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."}}