{"id":"W3190382315","doi":"","title":"L'impact de la pandémie de COVID-19 sur les finances des ménages","year":2020,"lang":"fr","type":"article","venue":"CIRANO Project Reports","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Coronavirus disease 2019 (COVID-19); Philosophy; Medicine","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002669254,0.0002983077,0.00042384,0.00003962255,0.001194562,0.0003649013,0.0004114332,0.0003747382,0.0006002334],"category_scores_gemma":[0.006749782,0.0002769391,0.0003480038,0.001386751,0.002716144,0.0005772836,0.00009171035,0.0003360166,0.00001477291],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008878993,"about_ca_system_score_gemma":0.007077833,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2897668,"about_ca_topic_score_gemma":0.01088665,"domain_scores_codex":[0.9962271,0.0008609306,0.0004862558,0.0006729214,0.0006953332,0.001057496],"domain_scores_gemma":[0.9977698,0.000599442,0.0005982728,0.0002216959,0.0001103468,0.0007003939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003334481,0.0001394474,0.7802474,0.00023267,0.00005554114,0.001995812,0.09145198,0.0002488811,0.0002686574,0.002491483,0.05613975,0.06669501],"study_design_scores_gemma":[0.0002633128,0.0002317617,0.2277523,0.0001292057,0.00007769262,0.0002284334,0.007971907,0.000121384,0.0001460376,0.00972484,0.7528369,0.0005163058],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9272766,0.02414026,0.001061915,0.0180205,0.0007027487,0.0005123212,0.00003766092,0.0001882174,0.02805985],"genre_scores_gemma":[0.9851141,0.006218016,0.0005675245,0.001445237,0.001069466,0.00004021046,0.000002646413,0.0000241199,0.005518656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6966971,"threshold_uncertainty_score":0.9999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1163394400072081,"score_gpt":0.4065614962311757,"score_spread":0.2902220562239677,"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."}}