{"id":"W4415242843","doi":"10.4000/14yx6","title":"L’ODDyssée du climat et des migrations","year":2025,"lang":"fr","type":"article","venue":"Mondes & Migrations","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Ethnic group; Rural population; Field (mathematics)","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":[0.004130983,0.0004519086,0.0004439847,0.0008629239,0.00215873,0.00387332,0.0006498137,0.001738993,0.01175242],"category_scores_gemma":[0.008268517,0.0002544847,0.0005248479,0.000706615,0.006784972,0.003796251,0.003325162,0.00415432,0.001168421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003312925,"about_ca_system_score_gemma":0.006396113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02580216,"about_ca_topic_score_gemma":0.02792557,"domain_scores_codex":[0.9975418,0.001691012,0.00005250052,0.0002286154,0.0003288008,0.000157305],"domain_scores_gemma":[0.9947601,0.003875639,0.0003095592,0.0002619364,0.000350471,0.0004423983],"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":[0.00008178144,0.0001196866,0.008255491,0.0005565558,0.00003231613,0.0002662932,0.05776815,0.002429747,0.001453394,0.6380454,0.03902039,0.2519707],"study_design_scores_gemma":[0.00002156506,0.0000667675,0.009182132,0.0006925734,0.000008886735,0.0002511471,0.01509997,0.001138871,0.0005019474,0.09869146,0.874301,0.00004372315],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1069883,0.07225323,0.1030275,0.3481958,0.006631885,0.0001785197,0.0006369115,0.0006349907,0.3614529],"genre_scores_gemma":[0.7951109,0.05283457,0.03044895,0.01223013,0.002788302,0.0002928065,0.0002426419,0.0003138714,0.1057379],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02580216,"threshold_uncertainty_score":0.05130398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1134622440282161,"score_gpt":0.3527957813532593,"score_spread":0.2393335373250432,"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."}}