{"id":"W4241130987","doi":"10.4000/danse.1598","title":"Éditorial","year":2016,"lang":"fr","type":"article","venue":"Recherches en danse","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada","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":[0.002114456,0.0002446787,0.0002386022,0.00004275683,0.0002186396,0.0000837154,0.0004003113,0.0007750177,0.001045645],"category_scores_gemma":[0.003163683,0.0001777245,0.0001710605,0.0001943179,0.001149467,0.0005208639,0.00006185116,0.0002751455,0.001698911],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00556799,"about_ca_system_score_gemma":0.001348309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105643,"about_ca_topic_score_gemma":0.002894263,"domain_scores_codex":[0.9956436,0.002438996,0.0003558295,0.000399808,0.0004700769,0.0006917212],"domain_scores_gemma":[0.9970356,0.001936844,0.0001217122,0.0003476065,0.0002383444,0.0003199089],"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":[0.00005410442,0.0002787481,0.004133605,0.00007525363,0.0001786896,0.00001912335,0.2404684,0.000004327524,0.01499977,0.1881083,0.4738219,0.07785778],"study_design_scores_gemma":[0.0004811116,0.00003818117,0.002951717,0.0001052892,0.00005401794,0.000004009385,0.004238772,0.00001196001,0.003546664,0.003077123,0.9851596,0.0003315453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6027284,0.003167684,0.001503359,0.2732784,0.05549898,0.0008528042,0.0002282297,0.0003940762,0.06234813],"genre_scores_gemma":[0.1112236,0.002407585,0.003258798,0.001835422,0.03101826,0.00002618893,0.00001079899,0.00005406675,0.8501653],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7878172,"threshold_uncertainty_score":0.9998676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3907796723351962,"score_gpt":0.4763349632048595,"score_spread":0.08555529086966324,"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."}}