{"id":"W4313486873","doi":"10.1522/radm.no6.1529","title":"Éditorial","year":2022,"lang":"fr","type":"article","venue":"Ad machina l avenir de l humain au travail","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00261619,0.001369994,0.001244231,0.00318437,0.001784873,0.007497143,0.002122079,0.004227513,0.2483046],"category_scores_gemma":[0.01483651,0.0005308606,0.001158001,0.001482003,0.001156198,0.004046325,0.001737944,0.004592447,0.1266032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002188033,"about_ca_system_score_gemma":0.004017318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001611775,"about_ca_topic_score_gemma":0.002760486,"domain_scores_codex":[0.9972014,0.0003383093,0.0003015304,0.0004740718,0.00140352,0.0002810677],"domain_scores_gemma":[0.9884793,0.002125166,0.0007941718,0.0008929649,0.005840114,0.001868285],"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":[0.00002753101,0.000009941173,0.00005069396,0.0003566912,0.000005604071,0.00008838494,0.00002315546,0.00001693298,0.0001029713,0.001166687,0.9761431,0.02200824],"study_design_scores_gemma":[0.000007598786,0.00000718365,0.0001027182,0.0002795147,0.000004970562,0.00009288354,0.00002824568,0.00001329553,0.00005253894,0.0004603182,0.9989471,0.000003646515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002745946,0.02283042,0.000546713,0.05104024,0.821591,0.0001203323,0.00127871,0.0003941865,0.1019238],"genre_scores_gemma":[0.004397859,0.02877872,0.0009098946,0.04464592,0.5509906,0.0001593433,0.001990517,0.0005300246,0.367597],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2483046,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06757469432987177,"score_gpt":0.3623156522562521,"score_spread":0.2947409579263803,"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."}}