{"id":"W4408647785","doi":"10.3917/spub.251.0067","title":"Lorsque les vécus d’oppression se propagent des patient.es aux chercheur.es : comment intégrer les données expérientielles à la recherche en santé mondiale ?","year":2025,"lang":"fr","type":"article","venue":"Santé Publique","topic":"Migration and Exile Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Political science","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004080045,0.000582847,0.0006394432,0.0003043433,0.002027267,0.0007052447,0.0007343724,0.00120115,0.001981147],"category_scores_gemma":[0.004699977,0.0005331493,0.0003375374,0.001145006,0.001991099,0.000863387,0.0007111577,0.00133538,0.00008036323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008819077,"about_ca_system_score_gemma":0.001130285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01693902,"about_ca_topic_score_gemma":0.02518394,"domain_scores_codex":[0.9887415,0.007949121,0.0008674535,0.0008331686,0.0006523405,0.000956419],"domain_scores_gemma":[0.995604,0.002647706,0.0003403542,0.0004662347,0.0006504546,0.0002912132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001221018,0.001043909,0.01348357,0.0005768411,0.0003107508,0.00003140175,0.2386195,0.0000447931,0.0006815827,0.08853379,0.1528748,0.503677],"study_design_scores_gemma":[0.000497142,0.0001694719,0.006253999,0.001228999,0.0001071693,0.000004040404,0.1387176,0.0001586955,0.005302323,0.01491841,0.8320408,0.0006013967],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7658806,0.07681377,0.003002808,0.05421987,0.002120221,0.001664655,0.0001252567,0.0003932474,0.09577955],"genre_scores_gemma":[0.9207987,0.05489019,0.002594896,0.001437233,0.0004823406,0.0003937965,0.00004546985,0.00005127553,0.01930615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.679166,"threshold_uncertainty_score":0.999712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1964031283022903,"score_gpt":0.4086085873401543,"score_spread":0.212205459037864,"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."}}