{"id":"W3160394568","doi":"10.34989/san-2021-8","title":"Évaluation préliminaire de l’impact de la COVID-19 sur la santé financière des entreprises canadiennes","year":2021,"lang":"fr","type":"article","venue":"Staff Analytical Notes","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Valuation (finance); Economics; Philosophy; Medicine; Virology","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002824629,0.0004236273,0.0007991586,0.0003339911,0.0002967676,0.0003379573,0.0003045811,0.0005677197,0.003026741],"category_scores_gemma":[0.06394704,0.0005285698,0.0004647752,0.0008905095,0.0008169175,0.0004022406,0.0001599912,0.0004955818,0.0001119795],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004136825,"about_ca_system_score_gemma":0.004792843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04399569,"about_ca_topic_score_gemma":0.01397604,"domain_scores_codex":[0.9963666,0.0005756468,0.0008054533,0.0007996397,0.0001305061,0.001322191],"domain_scores_gemma":[0.9898857,0.008044,0.0003089907,0.0005885017,0.0001629323,0.001009901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001034614,0.0008802657,0.8656483,0.0007522636,0.0004752958,0.001113295,0.008205004,0.04326089,0.0001231587,0.0275165,0.007646721,0.04427483],"study_design_scores_gemma":[0.002104775,0.0003920963,0.396078,0.000354001,0.0005172021,0.0006134654,0.001379401,0.3769175,0.0005700078,0.1246085,0.09512033,0.001344686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532649,0.01500885,0.02222203,0.00550045,0.0002624346,0.0001979621,0.0008450092,0.00005616771,0.002642192],"genre_scores_gemma":[0.9880491,0.004148578,0.003120191,0.0009492371,0.0002865042,0.00000999557,0.00004703293,0.00006103342,0.003328272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4695703,"threshold_uncertainty_score":0.9997166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05389673605539402,"score_gpt":0.3319290996368457,"score_spread":0.2780323635814517,"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."}}