{"id":"W4405669143","doi":"10.29173/hsi419","title":"The Economic Impact of Pandemics on Individuals, Families and Communities","year":2021,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Geography; Economic growth; Development economics; Coronavirus disease 2019 (COVID-19); Economics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002744622,0.0001232045,0.0003365467,0.0002430824,0.000676089,0.0001368559,0.0004278417,0.00005281968,0.00002266587],"category_scores_gemma":[0.0003165522,0.0001043354,0.00006481085,0.0003483965,0.001384136,0.0002986467,0.0002182385,0.0002157829,0.00003148056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009180784,"about_ca_system_score_gemma":0.001993441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003337648,"about_ca_topic_score_gemma":0.0002901689,"domain_scores_codex":[0.9985646,0.00003112304,0.0005927363,0.0002553377,0.00007063398,0.0004855708],"domain_scores_gemma":[0.9983096,0.0004861446,0.0004242166,0.0005684861,0.00003876952,0.0001728253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001384453,0.00002838833,0.8918797,0.0000573851,0.00002441739,6.763928e-7,0.01484709,0.001311029,0.00001491526,0.08144066,0.00171524,0.008666663],"study_design_scores_gemma":[0.0004466297,0.0003351853,0.9611226,0.00006492214,0.000001868071,0.00001876715,0.006749919,0.004237965,0.00008047627,0.01743,0.009291268,0.0002204505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937725,0.002838934,0.00005238334,0.001365434,0.000552355,0.0001263467,0.00009471243,0.00001706681,0.001180233],"genre_scores_gemma":[0.9926716,0.005647442,0.00008928936,0.001459898,0.00006281453,0.000006055636,0.000004450749,0.000009317669,0.00004913135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06924286,"threshold_uncertainty_score":0.5199999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1533869640391597,"score_gpt":0.3763649707113485,"score_spread":0.2229780066721888,"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."}}