{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00369353,0.00149763,0.001381277,0.002875637,0.002066144,0.006356959,0.002286931,0.005268519,0.08303738],"category_scores_gemma":[0.0224581,0.0005643576,0.0012249,0.001213096,0.001596812,0.003546728,0.001704021,0.006979254,0.04348189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002124173,"about_ca_system_score_gemma":0.003412878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001449046,"about_ca_topic_score_gemma":0.002014027,"domain_scores_codex":[0.9963843,0.0005240662,0.0003587788,0.0006431896,0.001753313,0.000336394],"domain_scores_gemma":[0.9829007,0.00468522,0.00106318,0.0009691961,0.008361489,0.002020294],"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":[0.00001924239,0.000005837194,0.00002564721,0.0001677868,0.000004538262,0.00004803306,0.00001550018,0.00001178835,0.00004652847,0.0004967147,0.9908522,0.008306313],"study_design_scores_gemma":[0.000009533959,0.000008052016,0.0001063991,0.0003112994,0.000006324881,0.00009808446,0.00003053475,0.00001792522,0.00006663649,0.0004506168,0.9988901,0.000004500647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00009456962,0.008310191,0.0001678862,0.03713242,0.9409392,0.00003982185,0.0002653538,0.00009601299,0.01295463],"genre_scores_gemma":[0.001746361,0.01277805,0.0002499388,0.03618972,0.8770149,0.00006494686,0.0003702806,0.000125918,0.07145991],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08303738,"threshold_uncertainty_score":0,"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."}}