{"id":"W2526833426","doi":"10.7202/1028129ar","title":"La personnalisation des services documentaires","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":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Humanities; Sociology; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0149282,0.0007276603,0.0008195005,0.007830553,0.006415017,0.01978865,0.002870655,0.003958852,0.0188811],"category_scores_gemma":[0.05188608,0.0007596869,0.00140899,0.01161754,0.01166577,0.02406097,0.009395998,0.004747565,0.007560224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009005152,"about_ca_system_score_gemma":0.01292505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03690918,"about_ca_topic_score_gemma":0.01922266,"domain_scores_codex":[0.9688293,0.01378566,0.00239257,0.003100967,0.01024576,0.001645633],"domain_scores_gemma":[0.9503434,0.01596011,0.002977161,0.01535002,0.01381119,0.001558169],"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":[0.00007241413,0.00004094755,0.002280481,0.0004869308,0.00004164501,0.0004275267,0.02163825,0.0006551318,0.001688524,0.8300208,0.0106943,0.131953],"study_design_scores_gemma":[0.00002020109,0.00003663919,0.001511874,0.0006980469,0.0000453479,0.0009656046,0.007948458,0.001817389,0.003017366,0.1470384,0.836834,0.0000667429],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05145771,0.008997847,0.4266318,0.03216972,0.001518552,0.0007812937,0.001904295,0.004082487,0.4724563],"genre_scores_gemma":[0.4764839,0.00882571,0.3034392,0.00310923,0.001133886,0.0007463785,0.00254304,0.002352907,0.2013657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03690918,"threshold_uncertainty_score":0.0789488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2192091977600923,"score_gpt":0.3865390480241669,"score_spread":0.1673298502640746,"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."}}