{"id":"W4290661624","doi":"","title":"Migrations chinoises et générations","year":2016,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"China's Global Influence and Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Horticulture; Biology","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.005599182,0.0005060264,0.0004693671,0.0001984886,0.001833071,0.0008488115,0.001425306,0.0005620119,0.0008602819],"category_scores_gemma":[0.003022421,0.0005081627,0.0004438649,0.0008655354,0.00115035,0.0008860169,0.0006940332,0.0006790482,0.0007600065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004065364,"about_ca_system_score_gemma":0.001234659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01272288,"about_ca_topic_score_gemma":0.08362034,"domain_scores_codex":[0.9860401,0.0106304,0.0008682199,0.001025183,0.0007921704,0.000643939],"domain_scores_gemma":[0.9918164,0.002218388,0.0007828256,0.00181462,0.002969242,0.0003984958],"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":[0.000005254991,0.0004867845,0.001903351,0.00003462292,0.00006942863,0.000002143309,0.03664579,0.0000603285,0.002495122,0.9306264,0.009346065,0.01832473],"study_design_scores_gemma":[0.000775699,0.000001279951,0.02330638,0.003762799,0.000209593,0.00001209164,0.001759967,0.001887425,0.01109562,0.1674286,0.7884858,0.001274738],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1194582,0.003836033,0.1529022,0.2281238,0.001183398,0.001165972,0.0005322235,0.0004690776,0.4923291],"genre_scores_gemma":[0.8452877,0.007241148,0.01575956,0.0009324415,0.0001951082,0.0002136844,0.0008509847,0.00006088321,0.1294584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7791398,"threshold_uncertainty_score":0.999737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188646402329386,"score_gpt":0.2773714255848453,"score_spread":0.2585067853519067,"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."}}