{"id":"W4251096619","doi":"10.4000/sabix.187","title":"Éditorial","year":2006,"lang":"fr","type":"article","venue":"Bulletin de la Sabix","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","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":[0.0008373589,0.0002149174,0.0002008428,0.00003184035,0.0004090743,0.0002303969,0.0002902823,0.000479278,0.007789334],"category_scores_gemma":[0.00044056,0.000224064,0.0001560083,0.0001270564,0.001625323,0.0000682867,0.00004917896,0.0002648805,0.002575367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243537,"about_ca_system_score_gemma":0.0004892751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05741774,"about_ca_topic_score_gemma":0.001980187,"domain_scores_codex":[0.9972046,0.0009313002,0.0003482329,0.000318137,0.0004767917,0.0007209175],"domain_scores_gemma":[0.9987721,0.0005310499,0.0001299882,0.0002193442,0.0001625094,0.0001849939],"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":[0.000005553188,0.0001166359,0.003466683,0.00001689946,0.0000131381,0.0000114933,0.004900061,0.00007509599,0.00007971165,0.1857267,0.8051615,0.0004264961],"study_design_scores_gemma":[0.0004151524,0.0000170402,0.01363983,0.00002731387,0.00004387887,0.000009218713,0.001767473,0.0000306887,0.0001623089,0.001895331,0.9817117,0.0002800594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2729986,0.00516173,0.000193325,0.1952333,0.03248832,0.0006050092,0.0001052027,0.0003106175,0.492904],"genre_scores_gemma":[0.2507264,0.0002603114,0.003238787,0.005274076,0.07086107,0.00002821142,0.00003907357,0.00005208727,0.66952],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1899592,"threshold_uncertainty_score":0.9982013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04168049912868651,"score_gpt":0.3613769569483868,"score_spread":0.3196964578197003,"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."}}