{"id":"W4410420346","doi":"10.55790/journals/ressi.2005.e0202","title":"Technologies et normes archivistiques : La norme ISO 15489 sur le records management","year":2005,"lang":"fr","type":"article","venue":"Revue électronique suisse de science de l information (RESSI)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06620128,0.001077902,0.001239998,0.007089115,0.005885592,0.01868208,0.003075411,0.007463769,0.002015362],"category_scores_gemma":[0.1146096,0.00110847,0.001347525,0.005185889,0.01700531,0.01436373,0.006423996,0.01047596,0.001715961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008579303,"about_ca_system_score_gemma":0.02606094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0203545,"about_ca_topic_score_gemma":0.0161034,"domain_scores_codex":[0.8349662,0.05624942,0.02747527,0.006333263,0.07253472,0.00244118],"domain_scores_gemma":[0.8317915,0.06542476,0.01403791,0.01755701,0.06926696,0.001921891],"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":[0.0001616519,0.0001760925,0.005861735,0.001293124,0.0000650595,0.0004467855,0.01232162,0.003126755,0.007782252,0.7768424,0.02333331,0.168589],"study_design_scores_gemma":[0.00004906902,0.0004842694,0.008568708,0.004613667,0.0001184776,0.001293688,0.0082022,0.004130781,0.01033885,0.1447658,0.8170208,0.0004136013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0513895,0.02334508,0.6236551,0.09179286,0.005996345,0.001231464,0.001010758,0.001417496,0.2001614],"genre_scores_gemma":[0.4024202,0.02247399,0.5056705,0.01722422,0.003615077,0.002438281,0.002023848,0.0009834565,0.04315051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06620128,"threshold_uncertainty_score":0.35011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05992663885631652,"score_gpt":0.2975641916981495,"score_spread":0.237637552841833,"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."}}