{"id":"W3165348872","doi":"","title":"The Relationship between Pandemic Containment Measures, Mobility and Economic Activity (Relación entre las medidas de contención de la pandemia, la movilidad y la actividad económica)","year":2021,"lang":"es","type":"article","venue":"SSRN Electronic Journal","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Demographic economics; Containment (computer programming); Geography; Econometrics; Welfare economics; Economics; Medicine; Computer science","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":[0.0007104418,0.0001706648,0.0001565217,0.0007947951,0.0001247555,0.0007936988,0.0002401441,0.000258436,0.006752175],"category_scores_gemma":[0.007454523,0.00006383839,0.0002981141,0.001156921,0.0002340008,0.0004792892,0.00042231,0.0003372523,0.0004887105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005020567,"about_ca_system_score_gemma":0.0003317113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004420067,"about_ca_topic_score_gemma":0.002915711,"domain_scores_codex":[0.9995337,0.0001831001,0.00007373746,0.00008104718,0.00007495833,0.00005353843],"domain_scores_gemma":[0.9912066,0.005395097,0.00252847,0.0001059086,0.0005291101,0.0002347919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000420383,0.00008317299,0.9720201,0.0004241545,0.00028836,0.0002915738,0.00121496,0.003805695,0.0004021233,0.00256301,0.002174737,0.01631175],"study_design_scores_gemma":[0.000008637751,0.0001535062,0.9927161,0.0001087453,0.00006673308,0.0001106643,0.001872616,0.001681996,0.0001935699,0.0004592908,0.002618608,0.000009426282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892669,0.0014657,0.0007662369,0.0009796992,0.00006572282,0.0000138894,0.001629588,0.00001129935,0.005800936],"genre_scores_gemma":[0.9980236,0.0003794605,0.0001443373,0.0000239165,0.0000409292,0.0000127541,0.0003944153,0.000002359375,0.0009782114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006752175,"threshold_uncertainty_score":0.02258825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919976496477016,"score_gpt":0.2885570116346527,"score_spread":0.2593572466698825,"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."}}