{"id":"W4285530382","doi":"10.7202/1088150ar","title":"Sélection des rédacteurs invités","year":2021,"lang":"fr","type":"article","venue":"Management international","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Political science; Geography; Library science; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002833959,0.000828372,0.001303124,0.002828676,0.001478117,0.002482807,0.0006399287,0.0008228249,0.009164257],"category_scores_gemma":[0.002941324,0.0004422204,0.0008676175,0.001368885,0.0004598522,0.0007165277,0.001257971,0.001439842,0.00346924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008974069,"about_ca_system_score_gemma":0.001243475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005782433,"about_ca_topic_score_gemma":0.01165736,"domain_scores_codex":[0.9980957,0.0002793406,0.00009098568,0.0003665978,0.0007957143,0.0003715483],"domain_scores_gemma":[0.9963719,0.000637718,0.0004164289,0.0002619763,0.001503059,0.0008089733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003036608,0.0009072102,0.1458043,0.001128701,0.0003381922,0.003368365,0.003803123,0.003101944,0.3639824,0.004316473,0.0103833,0.4598294],"study_design_scores_gemma":[0.0002874589,0.002309452,0.5053415,0.0005515868,0.0006972065,0.006071278,0.009137173,0.009619234,0.155201,0.001390384,0.3091145,0.0002793206],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9427422,0.004030762,0.01381704,0.0004005246,0.0004742058,0.000433269,0.00185514,0.0004638658,0.03578284],"genre_scores_gemma":[0.8280529,0.001862636,0.04097519,0.0004104095,0.00011293,0.0004547003,0.00472017,0.00040651,0.1230045],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009164257,"threshold_uncertainty_score":0.03065747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03127422327507709,"score_gpt":0.2607455879350615,"score_spread":0.2294713646599844,"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."}}