{"id":"W4317207459","doi":"10.1136/bmjgh-2022-010615","title":"Pandemic preparedness and response: beyond the Access to COVID-19 Tools Accelerator","year":2023,"lang":"en","type":"review","venue":"BMJ Global Health","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Göteborgs Universitet; Binghamton University; University of Oxford; Bowling Green State University","keywords":"Business; Intellectual property; Transparency (behavior); Essential medicines; Preparedness; Health care; Economic growth; Economics; Political science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02929698,0.0006588114,0.0006111559,0.001041355,0.005672939,0.01523482,0.002292074,0.0134662,0.02151677],"category_scores_gemma":[0.02590927,0.0004951266,0.001314241,0.0006682854,0.01640329,0.02044354,0.01810569,0.01114814,0.00255121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004774495,"about_ca_system_score_gemma":0.01600963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003802319,"about_ca_topic_score_gemma":0.002967059,"domain_scores_codex":[0.9828404,0.00718944,0.0008854834,0.00169836,0.004553524,0.002832684],"domain_scores_gemma":[0.9867535,0.006559744,0.001167795,0.00186858,0.001753254,0.001897029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003283818,0.00003412078,0.0004546488,0.0001136597,0.00001302807,0.000160773,0.002046208,0.0005165857,0.0004971654,0.9605564,0.0132055,0.02236912],"study_design_scores_gemma":[0.00003065029,0.0001095801,0.0009710221,0.0006761888,0.00002850659,0.0002672803,0.002405533,0.001190649,0.00109303,0.5443706,0.4487936,0.00006333601],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01462989,0.006090572,0.05276169,0.3844791,0.003687043,0.0002779878,0.0001606682,0.000307789,0.5376053],"genre_scores_gemma":[0.7459816,0.004931053,0.03681905,0.1168032,0.003061755,0.0005683444,0.0003127954,0.0003560681,0.09116607],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02929698,"threshold_uncertainty_score":0.1549391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5196650525038878,"score_gpt":0.5622340756270625,"score_spread":0.04256902312317468,"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."}}