{"id":"W6974418379","doi":"10.58079/mt5p","title":"Archiver à l'époque du numérique - l'autre coprésence","year":2014,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Set (abstract data type); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002935913,0.0004433247,0.0004059418,0.001767707,0.005585903,0.009437355,0.001001714,0.002241847,0.02811421],"category_scores_gemma":[0.009931062,0.0001850976,0.0004450493,0.001602475,0.006875398,0.004024615,0.005209491,0.004219108,0.003974501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00686623,"about_ca_system_score_gemma":0.005475726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01325412,"about_ca_topic_score_gemma":0.02906029,"domain_scores_codex":[0.9978358,0.0008856228,0.00005668052,0.0002581912,0.0007459349,0.0002177381],"domain_scores_gemma":[0.9961281,0.001593032,0.0002253616,0.0004735806,0.0008553677,0.0007245187],"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":[0.000200279,0.0001115312,0.001259855,0.0005423771,0.00001844383,0.0008831045,0.07137699,0.0003680007,0.002492841,0.4888904,0.334796,0.09906014],"study_design_scores_gemma":[0.000005292871,0.00001802806,0.0008662962,0.0002269908,0.00000410579,0.0001790285,0.006999154,0.00008923768,0.0005773438,0.005289939,0.9857302,0.00001452084],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06040356,0.01737679,0.02497892,0.1390106,0.04578561,0.0002341424,0.000475428,0.0007248586,0.7110102],"genre_scores_gemma":[0.3248048,0.01011169,0.008363634,0.01045255,0.0112738,0.0002789342,0.0002920388,0.001036889,0.6333858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9905626,"threshold_uncertainty_score":0.09405136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.067279298039169,"score_gpt":0.2643796793503519,"score_spread":0.1971003813111829,"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."}}