{"id":"W7039404407","doi":"","title":"Migrations chinoises et générations","year":2016,"lang":"fr","type":"article","venue":"SPIRE (Sciences Po)","topic":"China's Global Influence and Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Western europe; Cultural exchange; Tourism","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":["sts","insufficient_payload"],"category_scores_codex":[0.0008920782,0.0002258759,0.0001964247,0.0001297657,0.001853752,0.0003384282,0.0005677961,0.0001781623,0.001322005],"category_scores_gemma":[0.0004900197,0.0001636413,0.0001698203,0.001503577,0.002886722,0.002671105,0.00007448599,0.0001220385,0.0015252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001879393,"about_ca_system_score_gemma":0.0009087308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007034231,"about_ca_topic_score_gemma":0.04127992,"domain_scores_codex":[0.9973848,0.0003216122,0.0003950679,0.0005356274,0.0007107081,0.0006522041],"domain_scores_gemma":[0.998889,0.0002507316,0.0001995709,0.0002631453,0.0001639528,0.0002336188],"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":[0.000003976297,0.0001572461,0.007361071,0.000008324359,0.0000143796,0.000004317672,0.008886254,0.00006917069,0.003001695,0.8766518,0.03730708,0.06653474],"study_design_scores_gemma":[0.0003445111,0.0003658679,0.02558305,0.0003203914,0.00006569704,0.00001157245,0.004855048,0.0001032541,0.001174395,0.0693506,0.897241,0.0005845979],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5020334,0.008317887,0.003404554,0.2805103,0.004664041,0.0005744718,0.0002219403,0.00022195,0.2000514],"genre_scores_gemma":[0.9472575,0.003128272,0.0008284015,0.002836359,0.0006569259,0.00002799469,0.000006669921,0.000009881502,0.045248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8599339,"threshold_uncertainty_score":0.9998268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0425174989630521,"score_gpt":0.3612837871620418,"score_spread":0.3187662881989897,"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."}}