{"id":"W3027624398","doi":"","title":"Working From Home across Countries","year":2020,"lang":"en","type":"preprint","venue":"Alexandria (UniSG) (University of St.Gallen)","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Work (physics); Business; Developing country; Demographic economics; Labour economics; Agriculture; Economic growth; Economics; Geography","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":[0.001193369,0.0002622243,0.0007151006,0.002402886,0.0008779399,0.002530459,0.0005303735,0.0005178931,0.01019189],"category_scores_gemma":[0.004378543,0.0001975454,0.0004999564,0.004451103,0.0006313442,0.001384281,0.002098363,0.0006423671,0.0008158291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000585305,"about_ca_system_score_gemma":0.0003480807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01134359,"about_ca_topic_score_gemma":0.006598737,"domain_scores_codex":[0.9986705,0.0003402323,0.00008635669,0.0003438999,0.0001819506,0.0003771973],"domain_scores_gemma":[0.996954,0.0007417102,0.001252809,0.0003293327,0.0003059895,0.0004161512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005020906,0.0002886653,0.782831,0.0003472603,0.0009187172,0.00191022,0.00517484,0.01781074,0.0007429775,0.06606495,0.00838424,0.1150243],"study_design_scores_gemma":[0.0001426921,0.0003137776,0.9078232,0.0005889443,0.0003665176,0.001625819,0.01385748,0.008718568,0.0007763193,0.02602681,0.03969119,0.00006854536],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704354,0.0025849,0.001782474,0.0007152644,0.00003936784,0.00003026488,0.001652257,0.00002634483,0.02273365],"genre_scores_gemma":[0.99585,0.0006892063,0.0003605312,0.00008595904,0.00001173751,0.00002054311,0.0007261753,0.000008551991,0.002247265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01134359,"threshold_uncertainty_score":0.03409529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07086418948708449,"score_gpt":0.2206094421159757,"score_spread":0.1497452526288912,"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."}}