{"id":"W4413513582","doi":"10.64628/aap.676tukd9p","title":"Les entreprises se tournent de plus en plus vers les médias sociaux pour filtrer les candidats","year":2020,"lang":"fr","type":"article","venue":"","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Political science; Humanities; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004699309,0.0009693257,0.0005281176,0.003698789,0.008458123,0.01849284,0.001278133,0.002737161,0.04780684],"category_scores_gemma":[0.01742609,0.0003981594,0.000604127,0.003170839,0.003182499,0.008672451,0.004528395,0.003541046,0.0109157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003451589,"about_ca_system_score_gemma":0.004046982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009155492,"about_ca_topic_score_gemma":0.01924319,"domain_scores_codex":[0.9945728,0.001578422,0.0001903183,0.0004908503,0.002353354,0.0008142971],"domain_scores_gemma":[0.9868814,0.00412815,0.001071452,0.001506608,0.003916448,0.002496119],"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":[0.000637946,0.0008501672,0.04084381,0.0005365487,0.0001379062,0.003343763,0.03825738,0.001091595,0.01079005,0.3028378,0.06329996,0.5373731],"study_design_scores_gemma":[0.00005728303,0.0003303117,0.02596573,0.0005791675,0.000133882,0.001456699,0.05978356,0.001953215,0.0101089,0.03995719,0.8595441,0.0001300059],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.2966559,0.004825633,0.0224475,0.03360693,0.003621371,0.000227225,0.0004730824,0.001032963,0.6371095],"genre_scores_gemma":[0.6896684,0.002997058,0.01775644,0.003236828,0.001110466,0.0001453281,0.0003338272,0.0004885113,0.2842631],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04780684,"threshold_uncertainty_score":0.1599298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4624513712861611,"score_gpt":0.3653993333100654,"score_spread":0.09705203797609574,"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."}}