{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002143127,0.0004292701,0.0004150668,0.0001158934,0.00307903,0.0001982564,0.0009116943,0.0002770584,0.008719156],"category_scores_gemma":[0.0002751146,0.000503481,0.0003602705,0.0003816855,0.001512972,0.0003431789,0.0002487673,0.001013133,0.0005024364],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01224171,"about_ca_system_score_gemma":0.003274364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0597259,"about_ca_topic_score_gemma":0.02411132,"domain_scores_codex":[0.9933855,0.002531966,0.0006313832,0.0006870457,0.00121647,0.001547632],"domain_scores_gemma":[0.9982263,0.0003097897,0.0002984468,0.0005004582,0.0001303684,0.0005345807],"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":[0.000075891,0.0006699304,0.003811806,0.00009903079,0.0001889659,0.00009617726,0.3845323,0.000707625,0.0005668612,0.1558582,0.4453392,0.008053953],"study_design_scores_gemma":[0.0009091586,0.0001769755,0.01283736,0.00001907332,0.000132141,0.0000366498,0.02373467,0.000575482,0.0000731326,0.00257922,0.9583356,0.0005905192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8116726,0.008879016,0.0002239398,0.04533324,0.06341508,0.001382486,0.0009197422,0.0004149127,0.06775899],"genre_scores_gemma":[0.6149063,0.000257534,0.0006055501,0.005390807,0.01085776,0.0001187336,0.0001325378,0.00007978799,0.367651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5129964,"threshold_uncertainty_score":0.9997417,"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."}}