{"id":"W3135591738","doi":"10.1522/radm.no4.1241","title":"COVID-19 et les retombées positives : l’autre côté de la médaille!","year":2021,"lang":"fr","type":"article","venue":"Ad machina l avenir de l humain au travail","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval; Université du Québec à Montréal; Université du Québec à Chicoutimi","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00491019,0.0007217566,0.001128317,0.0004574617,0.0007439798,0.000488456,0.0007240418,0.001032864,0.004383883],"category_scores_gemma":[0.006321966,0.001018699,0.0006075953,0.0006405195,0.0009236372,0.0004748362,0.0003348112,0.001651082,0.0005042615],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00495751,"about_ca_system_score_gemma":0.003972786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01396017,"about_ca_topic_score_gemma":0.005121546,"domain_scores_codex":[0.994046,0.001531585,0.001190954,0.001332102,0.0001658512,0.00173354],"domain_scores_gemma":[0.9943323,0.002714286,0.0006577849,0.001024607,0.00007494308,0.001196093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003074794,0.001635936,0.3228127,0.002474325,0.001048174,0.003001351,0.06667007,0.002850349,0.001127307,0.4877472,0.07866036,0.03166479],"study_design_scores_gemma":[0.002532187,0.00020472,0.1968153,0.0003141529,0.0001286389,0.0007550237,0.001500165,0.00254558,0.0004019537,0.04931831,0.7443318,0.001152196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5455517,0.1836852,0.02399297,0.1447361,0.002091691,0.000853957,0.0033918,0.0004269163,0.09526968],"genre_scores_gemma":[0.8481883,0.01371769,0.003900971,0.01907449,0.0003938876,0.00005467685,0.0001753764,0.000187321,0.1143073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6656715,"threshold_uncertainty_score":0.9992263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03094636845078554,"score_gpt":0.2975191396859097,"score_spread":0.2665727712351241,"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."}}