{"id":"W6888960237","doi":"10.25318/36280001202200200006-fra","title":"Le programme de Subvention salariale d’urgence du Canada et la croissance et le taux de survie des entreprises pendant la pandémie de COVID-19 au Canada","year":2022,"lang":"fr","type":"article","venue":"Statistics Canada Dissemination","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Regional development; Ile de france; Medium term; Work (physics)","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":[0.002527103,0.0003496025,0.0004527865,0.001486397,0.001195978,0.001598819,0.0007140086,0.0004462096,0.006003635],"category_scores_gemma":[0.01324152,0.0001851915,0.0006165131,0.002789535,0.0007021423,0.0004648565,0.0008528311,0.001415895,0.0003298413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03394284,"about_ca_system_score_gemma":0.07848453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9852562,"about_ca_topic_score_gemma":0.9861258,"domain_scores_codex":[0.9972011,0.0006190521,0.00009115449,0.0002070665,0.001043916,0.0008376745],"domain_scores_gemma":[0.9900011,0.002720961,0.001295341,0.00022507,0.004481099,0.001276337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008911394,0.0002446131,0.6523831,0.00123671,0.0007428571,0.0002251936,0.00315732,0.01654822,0.0005790665,0.02369485,0.05602614,0.2442709],"study_design_scores_gemma":[0.00008789921,0.0002559007,0.9110849,0.0008146247,0.0003997484,0.00009712589,0.002872241,0.007502459,0.0007261651,0.001776064,0.07430878,0.00007393713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7997549,0.01980187,0.007003678,0.02877431,0.0004205705,0.0005594242,0.06528286,0.000233205,0.07816917],"genre_scores_gemma":[0.9541617,0.008414602,0.002451717,0.001048612,0.0001214705,0.0001811188,0.009162615,0.00004011051,0.02441802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03394284,"threshold_uncertainty_score":0.2462737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030651970151179,"score_gpt":0.2721522311324859,"score_spread":0.2518457114309741,"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."}}