{"id":"W4293398319","doi":"","title":"Réparer le monde, ce qu’il en reste. Editorial","year":2016,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Migration and Exile Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"History","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01026001,0.0005472036,0.0006496928,0.0001704313,0.001865998,0.0005488382,0.001954514,0.0007900048,0.001071543],"category_scores_gemma":[0.003922909,0.0005337776,0.0004358412,0.0006257795,0.00134741,0.0004198861,0.001593648,0.0008638293,0.0009775825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004140103,"about_ca_system_score_gemma":0.001250301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01362804,"about_ca_topic_score_gemma":0.01973066,"domain_scores_codex":[0.9821361,0.0137256,0.0009101581,0.001173793,0.001261401,0.0007929474],"domain_scores_gemma":[0.9897693,0.003438859,0.0007785406,0.001960606,0.003630506,0.0004221605],"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":[0.00002214858,0.0004447376,0.0009800477,0.00006665804,0.0001293603,0.000002607405,0.06000331,0.00001051866,0.0008380645,0.6630542,0.2563864,0.01806204],"study_design_scores_gemma":[0.0006595604,6.7856e-7,0.001655015,0.001192563,0.00006076869,0.000001561679,0.002479195,0.0002205202,0.003089564,0.01900023,0.9710183,0.0006220241],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01246652,0.004624587,0.02261237,0.1712005,0.03461403,0.001088148,0.000324473,0.0005113845,0.7525579],"genre_scores_gemma":[0.578018,0.01750899,0.009389702,0.000345164,0.01322821,0.0003148077,0.0003731182,0.0001355151,0.3806865],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.714632,"threshold_uncertainty_score":0.9998416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688456185911975,"score_gpt":0.2600441149698503,"score_spread":0.2431595531107306,"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."}}