{"id":"W4200087280","doi":"10.3917/dio.271.0173","title":"Entrer dans la danse : circulation et décalage à Cuba","year":2021,"lang":"fr","type":"article","venue":"Diogène","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Aurora College","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000853151,0.0003523318,0.0003731153,0.001416787,0.01082377,0.008104905,0.0007255884,0.0007598508,0.007536466],"category_scores_gemma":[0.001358754,0.0002561725,0.0001922286,0.003095371,0.004798288,0.003004994,0.003362168,0.001665773,0.0003596674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01946312,"about_ca_system_score_gemma":0.01336582,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6642686,"about_ca_topic_score_gemma":0.7233769,"domain_scores_codex":[0.9993604,0.0001827558,0.00001590379,0.00007997161,0.00006070277,0.0003003491],"domain_scores_gemma":[0.9994486,0.0001380116,0.00009165158,0.00004051209,0.0001594724,0.0001217981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002190646,0.0000386934,0.0310048,0.0004661054,0.00002519033,0.002308724,0.7055001,0.000273823,0.001362497,0.1990159,0.0115628,0.04822221],"study_design_scores_gemma":[0.000005992569,0.00001697283,0.02296351,0.0004408222,0.00001736731,0.0002508622,0.6802128,0.0001474277,0.0004760187,0.004959604,0.2904848,0.00002378525],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7389188,0.0104569,0.001325135,0.02368709,0.0004054294,0.00006465679,0.0005568422,0.00003080621,0.2245543],"genre_scores_gemma":[0.9514054,0.003382432,0.000346569,0.0007759957,0.00004650197,0.00004020788,0.0001506626,0.00003924854,0.04381298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6642686,"threshold_uncertainty_score":0.6754172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236092980786542,"score_gpt":0.2916498461340616,"score_spread":0.2680405480554074,"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."}}