{"id":"W2087634857","doi":"10.4000/vertigo.14677","title":"Anticiper la route : étude de cas dans l’est de la Guyane française","year":2014,"lang":"fr","type":"article","venue":"VertigO","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001638606,0.0001557982,0.0002301036,0.00005543859,0.0007540258,0.0001750761,0.0002990329,0.0003119473,0.0004687034],"category_scores_gemma":[0.0003461204,0.0001682196,0.0001069048,0.0002962695,0.0005230607,0.0002629218,0.00004160156,0.0002682703,0.0003564476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002442314,"about_ca_system_score_gemma":0.0005671302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09652388,"about_ca_topic_score_gemma":0.2112282,"domain_scores_codex":[0.9975801,0.0009222585,0.0002608252,0.000258676,0.0003372664,0.0006409156],"domain_scores_gemma":[0.9989334,0.0003086781,0.00008475353,0.000238968,0.00007022203,0.0003639553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008302133,0.0001596777,0.7021319,0.00009005416,0.00001642673,0.00001759483,0.08855294,0.00005563012,0.0002560936,0.1999357,0.007728132,0.001047558],"study_design_scores_gemma":[0.0003324311,0.00005932036,0.6585655,0.00007388616,0.00008269501,0.00001432009,0.001639615,0.001314269,0.0001369699,0.00846522,0.3291022,0.0002136089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9312313,0.001847242,0.004193657,0.003181947,0.000736523,0.0001303823,0.00001203077,0.00006680238,0.05860008],"genre_scores_gemma":[0.9854501,0.003053289,0.0007626106,0.0009013856,0.001086545,0.000008653552,0.000004783902,0.00002178876,0.008710822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.321374,"threshold_uncertainty_score":0.9094924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476739946247913,"score_gpt":0.3065105408291593,"score_spread":0.2917431413666802,"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."}}