{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007294759,0.0001329977,0.0001818899,0.00003341217,0.0002879184,0.0001506628,0.0001267037,0.0002035759,0.002867287],"category_scores_gemma":[0.0001557754,0.0001579839,0.0001410723,0.0003939396,0.0002638164,0.0005170461,0.00003948924,0.0001778154,0.0005178081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001366451,"about_ca_system_score_gemma":0.0003251516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003940832,"about_ca_topic_score_gemma":0.03422638,"domain_scores_codex":[0.9981958,0.0006925497,0.0002604455,0.00031485,0.0002235833,0.000312779],"domain_scores_gemma":[0.9992418,0.0001805155,0.00008220932,0.0002286735,0.0001206469,0.00014619],"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":[0.000008391386,0.0005117584,0.1547729,0.00009225769,0.0001117981,0.0001556506,0.3121245,0.0007234521,0.00159103,0.4850734,0.03159844,0.01323645],"study_design_scores_gemma":[0.0003987587,0.00001806462,0.1629125,0.00007313774,0.00008677001,0.00001953664,0.01690415,0.001702383,0.0008327903,0.01395813,0.8027238,0.0003699587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7448217,0.003268891,0.005549098,0.02309601,0.001505329,0.0001572385,0.00003800066,0.0000606042,0.2215031],"genre_scores_gemma":[0.9383662,0.001257866,0.0001919335,0.001495422,0.0006155383,0.000009352762,0.00007183131,0.00001430774,0.05797754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7711254,"threshold_uncertainty_score":0.9980443,"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."}}