{"id":"W6902201724","doi":"10.6084/m9.figshare.17306711.v1","title":"Covid-19, urban economic resilience and the pandemic pivot: Toronto’s restaurant scene","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Pandemic; Government (linguistics); Urban resilience; Downtown; Psychological resilience","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002585374,0.000140407,0.0002816382,0.00003311584,0.000232134,0.0001242486,0.0002851913,0.00007797236,0.05941401],"category_scores_gemma":[0.002022864,0.0001208155,0.00008293617,0.00007812853,0.00005303026,0.0002476974,0.0001722577,0.0001044678,0.001877546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004064931,"about_ca_system_score_gemma":0.0004291276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000386019,"about_ca_topic_score_gemma":0.0008852989,"domain_scores_codex":[0.9987577,0.00002728374,0.0003993355,0.0004901518,0.00005100503,0.0002745162],"domain_scores_gemma":[0.99887,0.0003042944,0.0001849396,0.0003786272,0.00002661814,0.0002355507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001103394,0.00003731617,0.0273616,0.0001602267,0.00005759566,0.00006712087,0.00148117,0.0002320171,0.000005655822,0.06162208,0.9059092,0.002955659],"study_design_scores_gemma":[0.001149945,0.00001703665,0.04439026,0.0001104909,0.00000259668,0.00005394911,0.0002759546,0.0008445158,0.00004355799,0.00656953,0.9462601,0.0002820852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09218834,0.2687313,0.0002595258,0.03826892,0.001724163,0.003097859,0.2438099,0.0005422237,0.3513778],"genre_scores_gemma":[0.9717653,0.004236217,0.000256401,0.008280753,0.0002848246,0.0003432349,0.006056482,0.00003747148,0.008739344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8795769,"threshold_uncertainty_score":0.9988996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06214263200367741,"score_gpt":0.2667783943004718,"score_spread":0.2046357622967944,"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."}}