{"id":"W4252782506","doi":"10.4000/dms.1461","title":"Éditorial","year":2016,"lang":"fr","type":"article","venue":"Distances et médiations des savoirs","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005417587,0.0002742639,0.0002427308,0.00007746946,0.0009064199,0.0002266502,0.0003655423,0.0002463435,0.001801261],"category_scores_gemma":[0.0009551703,0.0002153375,0.0001942177,0.0003858787,0.003663444,0.00138471,0.00004199964,0.000135186,0.0009480736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002968443,"about_ca_system_score_gemma":0.001141517,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002540668,"about_ca_topic_score_gemma":0.02255616,"domain_scores_codex":[0.9971309,0.0005873177,0.0004944811,0.0004365483,0.0006217493,0.000729059],"domain_scores_gemma":[0.9978955,0.0007494753,0.0002546057,0.0003340656,0.0004683101,0.0002980425],"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":[0.00001208737,0.0001499685,0.01150943,0.00003442461,0.0000756728,0.000003001563,0.05278761,0.00005502172,0.0001539799,0.8358378,0.09185115,0.00752987],"study_design_scores_gemma":[0.0005044558,0.00003043518,0.01402179,0.0001134814,0.00006273996,0.000001293801,0.01145528,0.00002857223,0.0001090122,0.008814611,0.9644848,0.0003735851],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5260597,0.01421044,0.01024029,0.1747278,0.06390841,0.001328089,0.002791194,0.0005715918,0.2061626],"genre_scores_gemma":[0.7506765,0.003668684,0.001278444,0.002013147,0.008064718,0.00006171694,0.00006216222,0.00004089752,0.2341338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8726336,"threshold_uncertainty_score":0.9998298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1493900220379241,"score_gpt":0.4105051768823023,"score_spread":0.2611151548443782,"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."}}