{"id":"W4390778860","doi":"10.4000/hommesmigrations.16418","title":"Samia Messaoudi et Mehdi Lallaoui, Mémoires pour l’égalité et la justice","year":2023,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004471272,0.0008422229,0.0005598305,0.0009481849,0.006627101,0.006515576,0.001189239,0.005722992,0.008967566],"category_scores_gemma":[0.008938538,0.000463491,0.0005088947,0.00119621,0.003970188,0.006731018,0.002546307,0.009205211,0.003360903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004037621,"about_ca_system_score_gemma":0.005735887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02754158,"about_ca_topic_score_gemma":0.04474883,"domain_scores_codex":[0.9977258,0.001105931,0.00009715935,0.0002028098,0.0005589466,0.0003093701],"domain_scores_gemma":[0.9972023,0.001502006,0.000317156,0.00008127509,0.0006391299,0.0002582562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001134133,0.00005078665,0.002210582,0.0006767925,0.00004930821,0.0004544827,0.05866031,0.00008079426,0.000497253,0.1545559,0.7201586,0.06249173],"study_design_scores_gemma":[0.00001886545,0.00001455646,0.002511407,0.0003939274,0.00001795721,0.0003718829,0.02642425,0.00008432143,0.0003321564,0.01407328,0.9557168,0.00004060436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01116895,0.1744608,0.002460625,0.7416477,0.01855006,0.00006674589,0.0002658681,0.00008952659,0.05128972],"genre_scores_gemma":[0.2606985,0.2065163,0.005254853,0.3439214,0.01022817,0.0002901708,0.0003040422,0.0002583178,0.1725283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02754158,"threshold_uncertainty_score":0.05476254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.138503723908753,"score_gpt":0.433279130667584,"score_spread":0.294775406758831,"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."}}