{"id":"W4392409498","doi":"10.61737/apfh2979","title":"Négocier la gestion algorithmique: un guide pour les acteurs du monde du travail","year":2023,"lang":"fr","type":"report","venue":"","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fonds de recherche du Québec; Fonds de Recherche du Québec - Santé; HEC Montréal","funders":"","keywords":"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":[0.008611675,0.001938386,0.0009402458,0.002882961,0.002152435,0.009746932,0.002262602,0.004640205,0.02278562],"category_scores_gemma":[0.02146369,0.00117024,0.001075861,0.002135861,0.003828819,0.006567801,0.002687017,0.003864505,0.01752491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002691756,"about_ca_system_score_gemma":0.00709916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01363076,"about_ca_topic_score_gemma":0.01805468,"domain_scores_codex":[0.9923729,0.003809062,0.0007804797,0.0005563943,0.002226977,0.0002541441],"domain_scores_gemma":[0.9892512,0.006452487,0.0003312374,0.0008376765,0.002754057,0.0003732145],"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":[0.000177471,0.0002338008,0.001715175,0.001508544,0.00004492432,0.0003268337,0.01136928,0.005033949,0.008321367,0.1525429,0.1155791,0.7031467],"study_design_scores_gemma":[0.00004389247,0.0001131978,0.001128459,0.00127457,0.00002421306,0.0008447332,0.003159227,0.01314785,0.005018738,0.04387441,0.9312459,0.0001247952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.004772307,0.006638624,0.8974798,0.008556749,0.0005611169,0.001244956,0.0006797098,0.006933323,0.0731335],"genre_scores_gemma":[0.02060727,0.00466965,0.9071117,0.0007849501,0.00008963398,0.001009856,0.0008059707,0.001176972,0.06374401],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02278562,"threshold_uncertainty_score":0.07622552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05030225294440729,"score_gpt":0.2895833547681665,"score_spread":0.2392811018237593,"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."}}