{"id":"W4214534879","doi":"10.4000/ethiquepublique.6441","title":"Les angles morts des réponses technologiques à la Covid-19 : des populations marginalisées invisibles","year":2021,"lang":"fr","type":"article","venue":"Éthique Publique","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.004257338,0.0008936297,0.001352135,0.0004611059,0.001482009,0.0005107581,0.0007685157,0.001889655,0.0009358462],"category_scores_gemma":[0.1577983,0.0008278183,0.0005433913,0.00159288,0.00396784,0.0008309151,0.001308474,0.00153451,0.00003787372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700837,"about_ca_system_score_gemma":0.001537966,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008553339,"about_ca_topic_score_gemma":0.03820458,"domain_scores_codex":[0.9911954,0.004391945,0.00139109,0.001238667,0.0004523982,0.001330497],"domain_scores_gemma":[0.9808761,0.01554173,0.000592781,0.001164035,0.001170245,0.0006551242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003483297,0.0006491577,0.1765767,0.002608845,0.0002537417,0.0006333358,0.001382666,0.0002750253,0.0002178476,0.7910838,0.01549525,0.01078883],"study_design_scores_gemma":[0.000276379,0.0001292436,0.04597431,0.0007093297,0.0001875617,0.000387133,0.001879714,0.0001539552,0.001171001,0.746002,0.2024169,0.000712566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4540011,0.1111694,0.1132989,0.3025736,0.0005349665,0.00146137,0.0006090853,0.002988134,0.01336356],"genre_scores_gemma":[0.7001351,0.03404105,0.2302412,0.02808049,0.0004736331,0.0009611908,0.0001418585,0.0002045397,0.005720941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2744931,"threshold_uncertainty_score":0.9999774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2653632265823512,"score_gpt":0.4307515562251716,"score_spread":0.1653883296428205,"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."}}