{"id":"W3211014530","doi":"10.34745/numerev_1581","title":"Gestion de la performance en archivistique : pratiques actuelles dans les centres et les services d'archives du Québec","year":2016,"lang":"fr","type":"article","venue":"NumeRev","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006001729,0.000313848,0.000368995,0.001333355,0.01067229,0.005508522,0.001388957,0.001021869,0.02215458],"category_scores_gemma":[0.01362563,0.0002870253,0.0002421021,0.004275747,0.002990407,0.002230651,0.002767954,0.002071932,0.001729599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0617771,"about_ca_system_score_gemma":0.105935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9782266,"about_ca_topic_score_gemma":0.9867582,"domain_scores_codex":[0.9966826,0.0009474258,0.0001292416,0.0002223658,0.001141466,0.0008769212],"domain_scores_gemma":[0.9852774,0.002143486,0.001207263,0.0003344228,0.005689399,0.005348092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009902723,0.0002070732,0.2601396,0.0005221303,0.00004810257,0.0007307192,0.4091385,0.0007221788,0.0008904677,0.009259651,0.122921,0.1953216],"study_design_scores_gemma":[0.000007826692,0.00007196853,0.4258948,0.0006550251,0.00001728655,0.0001276143,0.364644,0.0003596581,0.0003602774,0.0003392769,0.2074347,0.00008766153],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7926365,0.006753237,0.001435922,0.07206088,0.0003888052,0.0002185461,0.002675146,0.0002263004,0.1236047],"genre_scores_gemma":[0.8883678,0.004058669,0.001174167,0.001526353,0.00006376224,0.0001231853,0.000565098,0.00006234206,0.1040587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0617771,"threshold_uncertainty_score":0.4482263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04075343665701966,"score_gpt":0.2706122734257749,"score_spread":0.2298588367687553,"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."}}