{"id":"W4285143052","doi":"10.4000/hommesmigrations.13553","title":"Grandir dans la mobilité géographique","year":2022,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Sociology; Art","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008470437,0.0001544312,0.0001800649,0.00005979961,0.002984927,0.0001319695,0.0005308276,0.0000980472,0.001976528],"category_scores_gemma":[0.00009704096,0.0001724891,0.0002611658,0.002175177,0.001648549,0.0003410676,0.0001241527,0.0003368578,0.00005107345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002612994,"about_ca_system_score_gemma":0.0004655098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07969674,"about_ca_topic_score_gemma":0.1536798,"domain_scores_codex":[0.9974643,0.000782864,0.0002602787,0.000356081,0.0006537734,0.0004826784],"domain_scores_gemma":[0.9990464,0.0003362946,0.0001607408,0.0002344755,0.00004966831,0.0001724548],"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":[0.000006273946,0.0004269218,0.02680314,0.00000803676,0.000031154,0.00001675692,0.1031502,0.0004237856,0.00006952482,0.4706074,0.3768626,0.02159418],"study_design_scores_gemma":[0.0001392455,0.00007594621,0.02756404,0.000008628658,0.00003246923,0.000005971956,0.07675507,0.0001109439,0.000007761446,0.02040685,0.8746908,0.0002023187],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.718273,0.1078181,0.0006857087,0.09899601,0.004302344,0.0007448575,0.0006928747,0.0001805713,0.06830642],"genre_scores_gemma":[0.9072843,0.001382081,0.0001594355,0.0007938171,0.0004002148,0.000238735,0.00001706615,0.00001297684,0.08971142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4978282,"threshold_uncertainty_score":0.9989358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186114519506079,"score_gpt":0.2881251382432553,"score_spread":0.2695136862926473,"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."}}