{"id":"W4415242805","doi":"10.4000/14yxf","title":"Dorothée-Myriam Kellou, Nancy-Kabylie","year":2025,"lang":"en","type":"article","venue":"Mondes & Migrations","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002881421,0.0001787174,0.0001829116,0.0001571014,0.001217463,0.0002567431,0.0003277229,0.0001701181,0.0005219236],"category_scores_gemma":[0.000434421,0.0001701968,0.000140896,0.0004572591,0.0004807628,0.0003611328,0.00004554207,0.00015335,0.0002324065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006245353,"about_ca_system_score_gemma":0.000978697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008810526,"about_ca_topic_score_gemma":0.06247317,"domain_scores_codex":[0.9982921,0.0002006665,0.0003610843,0.0003289755,0.0003491265,0.000468042],"domain_scores_gemma":[0.9989246,0.0001768446,0.00008904348,0.00036383,0.0003021793,0.0001435445],"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":[0.000005227627,0.0001696021,0.01053371,0.00001876271,0.00008115551,0.000002692196,0.06092776,0.0001496995,0.001727179,0.4393597,0.484635,0.002389492],"study_design_scores_gemma":[0.0002330154,0.00000987306,0.03206033,0.00002837335,0.00005073049,4.362399e-7,0.01370788,0.0001704687,0.0009198647,0.003807938,0.9487868,0.0002243086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5654736,0.004335269,0.004556388,0.103434,0.003547019,0.002375368,0.0001877442,0.001161402,0.3149292],"genre_scores_gemma":[0.7798534,0.0001800238,0.001205193,0.005459556,0.0002769147,0.0001025632,0.00006955349,0.00001452542,0.2128382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4641518,"threshold_uncertainty_score":0.9977899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08513974058568216,"score_gpt":0.4106414080498522,"score_spread":0.3255016674641701,"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."}}