{"id":"W4376257136","doi":"10.3917/rmi.207.0005","title":"Éditorial","year":2023,"lang":"fr","type":"article","venue":"Revue Management & Innovation","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Réseau Technoscience","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":[],"category_scores_codex":[0.001053779,0.0001853348,0.0001678233,0.000396773,0.0004102776,0.0001789322,0.0002589154,0.000181766,0.0004756438],"category_scores_gemma":[0.0001603801,0.0002179789,0.00006649333,0.003776661,0.0002703645,0.0005058752,0.0001164764,0.0001432469,0.002875967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324724,"about_ca_system_score_gemma":0.00009251406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007092365,"about_ca_topic_score_gemma":0.0002171666,"domain_scores_codex":[0.9978445,0.0001639367,0.0005601924,0.0003727214,0.0005202667,0.0005383383],"domain_scores_gemma":[0.9989634,0.00005799918,0.0002481375,0.0002848655,0.0003930706,0.00005256309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003024616,0.00003509378,0.0006348902,0.0001825461,0.00006058006,0.000008918242,0.006509715,0.0001658254,0.00005176583,0.6496609,0.33001,0.0126767],"study_design_scores_gemma":[0.0003008258,0.0000176529,0.01293367,0.000097825,0.00006012322,4.821559e-7,0.006135302,0.0006908683,0.00004273397,0.003035682,0.9764394,0.0002454387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4649517,0.0003650772,0.001330208,0.1777889,0.1092645,0.002329256,0.00007197759,0.001014214,0.2428842],"genre_scores_gemma":[0.1396046,0.0008942106,0.0006892806,0.003506155,0.02332508,0.00007963253,0.0005428609,0.00004374819,0.8313144],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6466253,"threshold_uncertainty_score":0.9979004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2006713554333103,"score_gpt":0.4198885601820566,"score_spread":0.2192172047487463,"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."}}