{"id":"W3048361110","doi":"10.1017/s1744133120000304","title":"Health economics and emergence from COVID-19 lockdown: the great big marginal analysis","year":2020,"lang":"en","type":"article","venue":"Health Economics Policy and Law","topic":"Global Health Care Issues","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Value (mathematics); Pandemic; Jurisdiction; Economics; Balance (ability); Perspective (graphical); Coronavirus disease 2019 (COVID-19); Public economics; Political science; Disease; Law; Medicine; Infectious disease (medical specialty)","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":[0.008302203,0.000334831,0.0005607436,0.001076053,0.003229594,0.007046192,0.001295893,0.004379475,0.007726375],"category_scores_gemma":[0.01356538,0.0002807581,0.000795777,0.0005228933,0.02610365,0.006290209,0.005498221,0.006859326,0.0004067514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007910202,"about_ca_system_score_gemma":0.004860874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00595068,"about_ca_topic_score_gemma":0.00558727,"domain_scores_codex":[0.9958526,0.002458237,0.0000809772,0.0003641088,0.0006045876,0.0006394749],"domain_scores_gemma":[0.9938266,0.00404162,0.0003212921,0.0005004699,0.0006693831,0.0006406846],"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":[0.000005013181,0.00000451032,0.0001084008,0.000007739431,0.00000259166,0.00002753413,0.0001482394,0.000300773,0.00001458851,0.9968168,0.001142395,0.001421426],"study_design_scores_gemma":[0.000004563349,0.000006783858,0.0002051832,0.00004010077,0.000003114615,0.00003147729,0.0002326365,0.001015464,0.00003340686,0.9864119,0.01200916,0.000005991268],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05654708,0.008790597,0.08538637,0.3438312,0.0009228299,0.0001038618,0.0001586504,0.00007459366,0.5041848],"genre_scores_gemma":[0.9668559,0.001538316,0.00455298,0.01238027,0.0005728138,0.00009433387,0.00002020064,0.00004787177,0.0139373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008302203,"threshold_uncertainty_score":0.05739284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1240146862468563,"score_gpt":0.4407176630985523,"score_spread":0.316702976851696,"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."}}