{"id":"W4409219783","doi":"10.4000/13lo9","title":"« Tu kiffes mes tminiks » ?","year":2025,"lang":"fr","type":"article","venue":"Mondes & Migrations","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Computer 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":[0.002068019,0.0003602241,0.0003376316,0.0007551241,0.008073642,0.005981232,0.0005024825,0.001789905,0.02901278],"category_scores_gemma":[0.00427471,0.0002027813,0.0002648727,0.0006227695,0.009041049,0.006446264,0.00243198,0.003250366,0.005679239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002802782,"about_ca_system_score_gemma":0.002269865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01849952,"about_ca_topic_score_gemma":0.02720826,"domain_scores_codex":[0.9985759,0.0007829581,0.0000291966,0.0001687548,0.0001535976,0.000289667],"domain_scores_gemma":[0.9988804,0.0002367889,0.0001942812,0.0001165147,0.0002286015,0.0003433011],"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":[0.0001031599,0.00006761366,0.007600171,0.0001650546,0.00002081238,0.0007878508,0.1366818,0.00008195496,0.0005362944,0.6565722,0.1346381,0.06274508],"study_design_scores_gemma":[0.00001211104,0.00004200875,0.004623822,0.0003080898,0.000009126487,0.0004888864,0.08763619,0.00007608225,0.000216208,0.03875464,0.8678119,0.00002093957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0959888,0.01238634,0.002864473,0.27865,0.004067957,0.00004381765,0.0002830777,0.0001708632,0.6055447],"genre_scores_gemma":[0.6539289,0.005908031,0.001278401,0.0197035,0.00114801,0.00004446964,0.00009873042,0.0001506382,0.3177393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02901278,"threshold_uncertainty_score":0.0970574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03371363644551831,"score_gpt":0.2963473961377255,"score_spread":0.2626337596922071,"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."}}