{"id":"W4210786238","doi":"10.4000/hybrid.480","title":"Éditorial","year":2019,"lang":"fr","type":"article","venue":"Hybrid","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003246186,0.0001569873,0.0001814092,0.00002776493,0.0001902072,0.0001157015,0.0002406724,0.0001085214,0.006245409],"category_scores_gemma":[0.0001328995,0.0001573699,0.0001233099,0.00009462789,0.0004594936,0.0003609536,0.00004350504,0.0001633272,0.01243642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008391786,"about_ca_system_score_gemma":0.000541708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007064688,"about_ca_topic_score_gemma":0.0006083507,"domain_scores_codex":[0.9982085,0.0002377549,0.0002419394,0.0002942519,0.0004828604,0.0005347501],"domain_scores_gemma":[0.9991589,0.0001113345,0.0001000219,0.0002562208,0.0001784853,0.000195022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009380385,0.0000952988,0.007946889,0.00004686005,0.0000503664,0.00001076047,0.02093197,0.00004731403,0.0002980583,0.1483191,0.8204512,0.001792846],"study_design_scores_gemma":[0.0003237562,0.00002739478,0.003151055,0.00002328819,0.00002563772,0.000004509327,0.002722109,0.0001832584,0.0006382876,0.0004208913,0.9922552,0.0002246629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8141901,0.001115514,0.00002022434,0.01666158,0.09407308,0.0003922637,0.00007870828,0.00008155626,0.07338692],"genre_scores_gemma":[0.5093982,0.0001420956,0.0001483202,0.002790383,0.02331072,0.000004399249,0.00002819353,0.00001886275,0.4641588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3907719,"threshold_uncertainty_score":0.9995474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09395157372259487,"score_gpt":0.3838754929211882,"score_spread":0.2899239191985933,"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."}}