{"id":"W7115310485","doi":"","title":"South South Migration and Trade : chinese traders in Senegal and African traders in China","year":2016,"lang":"en","type":"other","venue":"Doria (University of Helsinki)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Government (linguistics); Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002560247,0.000182799,0.0001253239,0.0008873931,0.001200296,0.0007667438,0.0003578975,0.0003062895,0.006640531],"category_scores_gemma":[0.0004691487,0.0001053562,0.0001637277,0.00350119,0.0006279905,0.0005220548,0.0009605569,0.0003110058,0.0002970239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475161,"about_ca_system_score_gemma":0.003120143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3354302,"about_ca_topic_score_gemma":0.6292865,"domain_scores_codex":[0.9998705,0.00002486025,0.000007320159,0.00001319989,0.00001784798,0.000066277],"domain_scores_gemma":[0.9996672,0.00004514338,0.0000761325,0.00001472162,0.0000573487,0.0001395541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002057777,0.00005750676,0.9434867,0.0001230686,0.00004236144,0.001016947,0.02031642,0.0002902202,0.000278673,0.003617938,0.009078559,0.02148583],"study_design_scores_gemma":[0.000005938082,0.00001509891,0.9754463,0.00004853629,0.00001307613,0.00007251396,0.01869534,0.0002049842,0.00007463621,0.0003891064,0.005027208,0.000007309214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9887704,0.001050753,0.0000249929,0.001439789,0.00002470429,0.00000991422,0.001067577,0.000002648785,0.007609301],"genre_scores_gemma":[0.989255,0.00119476,0.00003716384,0.00006398643,0.00001618028,0.00001110199,0.0005222336,0.000003612468,0.008895948],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3354302,"threshold_uncertainty_score":0.6669555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006635627093470293,"score_gpt":0.1907910111148878,"score_spread":0.1841553840214175,"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."}}