{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006628212,0.00009093158,0.000193425,0.00005876679,0.0009680181,0.000009842667,0.000689932,0.00007865188,0.0001109574],"category_scores_gemma":[0.0004687046,0.00003784514,0.00005855211,0.0001971922,0.0002541095,0.00003838751,0.0001448487,0.001138049,0.000003830994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001058256,"about_ca_system_score_gemma":0.0001741817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007721272,"about_ca_topic_score_gemma":0.0001337151,"domain_scores_codex":[0.9985309,0.0005321863,0.0005490074,0.00007301962,0.0001676315,0.0001473093],"domain_scores_gemma":[0.9979418,0.0009602415,0.0005400397,0.0001980218,0.0003508044,0.000009107205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00152421,0.00009159733,0.0003316599,0.0000924037,0.0007486853,0.000003728707,0.03151764,0.001076426,0.8197342,0.08457939,0.05921883,0.001081255],"study_design_scores_gemma":[0.001507125,0.0003827114,0.00007305763,0.0004510025,0.0002661417,0.001560705,0.007273711,0.00002201092,0.0059155,0.001409318,0.9810389,0.00009981951],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8415005,0.001500178,0.009052129,0.1418903,0.005117754,0.0004837444,0.00003765863,0.000009541385,0.0004082019],"genre_scores_gemma":[0.9867771,0.000182727,0.0001192525,0.01203402,0.0003718016,0.000002040045,0.00001073756,0.000009740694,0.0004926223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.92182,"threshold_uncertainty_score":0.7445311,"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."}}