{"id":"W4390768985","doi":"10.4000/hommesmigrations.16204","title":"La migration chinoise dans l’Extrême-Orient russe : anciens débats, nouveaux enjeux","year":2023,"lang":"fr","type":"article","venue":"Hommes & migrations","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science; Humanities; Art","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":[0.0007343577,0.0001510454,0.0001544868,0.0004171018,0.001704574,0.001047292,0.0001934156,0.0003087744,0.002599583],"category_scores_gemma":[0.0004608316,0.00007623314,0.00009813121,0.0009224433,0.001193485,0.0005753584,0.0005937237,0.0004659256,0.0001566325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051394,"about_ca_system_score_gemma":0.00216389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.216628,"about_ca_topic_score_gemma":0.3417204,"domain_scores_codex":[0.9997764,0.00008551752,0.000008142487,0.00003302078,0.00001710526,0.00007977025],"domain_scores_gemma":[0.9998623,0.0000343677,0.00003403732,0.000008892784,0.00002695618,0.00003336946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004661258,0.00009567595,0.4167932,0.0006580031,0.0001158621,0.003483453,0.2536555,0.00109521,0.0097561,0.1303214,0.006484863,0.1770746],"study_design_scores_gemma":[0.00001190779,0.0001329574,0.7992111,0.0003904834,0.00004434894,0.00058053,0.09814314,0.0002867144,0.0005571918,0.004073711,0.09651983,0.0000480342],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775237,0.006374658,0.0001446062,0.00295836,0.00004000233,0.000005655333,0.00008412117,0.000004694234,0.01286417],"genre_scores_gemma":[0.9902181,0.004375675,0.0001531725,0.0001700073,0.00002454322,0.000006970333,0.00005019463,0.000003236279,0.004998111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.216628,"threshold_uncertainty_score":0.4307342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02878304041813393,"score_gpt":0.3161340381304882,"score_spread":0.2873509977123543,"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."}}