{"id":"W131867149","doi":"10.7202/1029340ar","title":"La reliure à la Bibliothèque de l’Assemblée nationale vue à travers le prisme administratif","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003606844,0.0003098923,0.0005173025,0.004380067,0.01147497,0.01297712,0.0009458871,0.001259031,0.02576783],"category_scores_gemma":[0.009711704,0.0003468012,0.0003067852,0.008833513,0.009650572,0.005512457,0.003445795,0.003160605,0.002117362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04640464,"about_ca_system_score_gemma":0.04346604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5664667,"about_ca_topic_score_gemma":0.7504461,"domain_scores_codex":[0.996203,0.00108545,0.0001788924,0.0004661147,0.001461675,0.0006049301],"domain_scores_gemma":[0.9930692,0.001795012,0.000631644,0.0008520582,0.002780337,0.0008718001],"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":[0.00006345957,0.00003218472,0.009856981,0.0003419943,0.0000387631,0.0004108521,0.06091817,0.0005361256,0.001206247,0.8237098,0.0329983,0.069887],"study_design_scores_gemma":[0.00001007975,0.0000227669,0.02486199,0.0005360549,0.00001797384,0.0001757962,0.0169807,0.0002451426,0.0007323314,0.0140617,0.9423094,0.00004603854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07006287,0.006752196,0.006385971,0.02211684,0.000560605,0.00006615578,0.0009269812,0.0002802309,0.8928481],"genre_scores_gemma":[0.7081205,0.005722182,0.005051658,0.001806374,0.0003135708,0.0000910205,0.0006141555,0.000331526,0.277949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5664667,"threshold_uncertainty_score":0.872173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.14965843584058,"score_gpt":0.3671760240176459,"score_spread":0.2175175881770658,"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."}}