{"id":"W3210670702","doi":"","title":"Kolik nás může pracovat z domova? Výsledky pro Českou republiku [How Many of Us Can Work from Home? Evidence for the Czech Republic]","year":2021,"lang":"cs","type":"article","venue":"Politická ekonomie","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Work (physics); Quarter (Canadian coin); Context (archaeology); Productivity; Per capita; Demographic economics; Business; Economics; Economic growth; Labour economics; Sociology; Geography; Population","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":[0.003104247,0.0003187961,0.0006106622,0.002253543,0.0017018,0.003887816,0.001107467,0.0006184596,0.008361928],"category_scores_gemma":[0.008442282,0.0004307301,0.0008048176,0.003420462,0.002029588,0.002229484,0.003949648,0.001191001,0.0008947998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002113186,"about_ca_system_score_gemma":0.003730302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08405422,"about_ca_topic_score_gemma":0.1012948,"domain_scores_codex":[0.9977503,0.0006817735,0.0002260858,0.0003161459,0.0005283108,0.0004972316],"domain_scores_gemma":[0.9967244,0.0009560348,0.001086454,0.0002891024,0.0004392738,0.0005047509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008179159,0.0002361411,0.8284938,0.002202178,0.0007601986,0.001178067,0.01766685,0.001123379,0.0007775407,0.02510703,0.01914518,0.1024917],"study_design_scores_gemma":[0.00004683393,0.00007673418,0.9517221,0.001049656,0.0001538213,0.0002807604,0.01971217,0.0002692982,0.0001453398,0.001656756,0.02483501,0.00005143456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401156,0.02428955,0.0007195501,0.004898303,0.0001450934,0.00008196798,0.003533956,0.00002180906,0.02619413],"genre_scores_gemma":[0.9934095,0.004507152,0.0001233544,0.0003210675,0.00002115542,0.00001568101,0.000611513,0.000009803232,0.0009808048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08405422,"threshold_uncertainty_score":0.1671299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1341446563398349,"score_gpt":0.3110519566903269,"score_spread":0.176907300350492,"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."}}