{"id":"W2089049082","doi":"10.3917/cdge.056.0041","title":"Migrer pour procréer : histoires de couples africains","year":2014,"lang":"fr","type":"article","venue":"Cahiers du Genre","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Humanities; Political science; Art; Philosophy; Ethnology; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001208575,0.0001913277,0.000259288,0.00008511786,0.001642605,0.0001183375,0.0003332448,0.0003757569,0.0008558656],"category_scores_gemma":[0.0006196356,0.0002062191,0.0001435691,0.0003472097,0.001093222,0.0002424036,0.00002658437,0.0002912321,0.00055884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009549517,"about_ca_system_score_gemma":0.0008742522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006575821,"about_ca_topic_score_gemma":0.0172343,"domain_scores_codex":[0.997885,0.0003879501,0.000292059,0.0003442058,0.00039213,0.0006986837],"domain_scores_gemma":[0.9988011,0.000168914,0.0001660591,0.000237756,0.0002004671,0.0004256738],"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":[0.00001177886,0.0001520706,0.04325948,0.0002324549,0.0000326767,0.000009030916,0.1094038,0.00003469496,0.0001278407,0.4359279,0.4051392,0.005669094],"study_design_scores_gemma":[0.0002595726,0.00006266338,0.02483143,0.00004759568,0.00007910772,0.000006324492,0.008987545,0.0008554024,0.00002623475,0.02237691,0.9421855,0.0002817659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8456052,0.0247091,0.004326632,0.06148466,0.00344193,0.0004734503,0.00002790381,0.0001442224,0.05978692],"genre_scores_gemma":[0.7342101,0.006015082,0.001393136,0.002865436,0.003433392,0.00002635981,0.00001145101,0.00003389704,0.2520112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5370463,"threshold_uncertainty_score":0.9996571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611288785127315,"score_gpt":0.2689199513501443,"score_spread":0.2528070634988712,"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."}}