{"id":"W3035993890","doi":"10.15520/jassh.v6i5.488","title":"Economic Recovery After Covid -19 Pandemic","year":2020,"lang":"en","type":"article","venue":"Journal of Advances in Social Science and Humanities","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Government (linguistics); Investment (military); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Economic recovery; Business; Job creation; Economic growth; Development economics; Economics; Political science; Virology; Labour economics; Law; Biology; Macroeconomics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001505192,0.0003187876,0.0002849637,0.0006576997,0.006759035,0.003059643,0.0008070405,0.001655362,0.0106897],"category_scores_gemma":[0.004863493,0.00008019852,0.0005042665,0.0007603043,0.001705589,0.001446592,0.002874653,0.003857655,0.0009534123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02278676,"about_ca_system_score_gemma":0.04181714,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8424121,"about_ca_topic_score_gemma":0.8882741,"domain_scores_codex":[0.9980946,0.0001349845,0.00002015995,0.00004500403,0.0002734311,0.001431851],"domain_scores_gemma":[0.9981526,0.00006983647,0.00008737006,0.00003239331,0.0007357643,0.0009221004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005543611,0.0002843806,0.06877659,0.000317531,0.0001398649,0.003340681,0.007793096,0.003457938,0.001225412,0.1339723,0.6166143,0.1635235],"study_design_scores_gemma":[0.00007049131,0.0002630364,0.22957,0.001040438,0.00008614072,0.0005439565,0.06215964,0.003250714,0.0007303676,0.03138591,0.670717,0.0001822944],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1976725,0.01113314,0.001616614,0.5918153,0.004898046,0.0001372114,0.003532842,0.0001569657,0.1890373],"genre_scores_gemma":[0.8933735,0.008916374,0.0008217561,0.05987197,0.0009740781,0.00004572004,0.00152148,0.00007440796,0.03440074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8424121,"threshold_uncertainty_score":0.317032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06803082030949814,"score_gpt":0.3798573178121151,"score_spread":0.311826497502617,"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."}}