{"id":"W3082721764","doi":"10.7202/1071198ar","title":"L’utilisation des personas à Bibliothèque et Archives nationales du Québec","year":2020,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Persona Design and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bibliothèque et Archives nationales du Québec","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003113253,0.0003860239,0.0004867472,0.002812054,0.01221138,0.00773207,0.001259175,0.0008614829,0.02549743],"category_scores_gemma":[0.01149204,0.0002665046,0.0003301062,0.008211996,0.002940859,0.003562396,0.003167694,0.00127215,0.002240118],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04902613,"about_ca_system_score_gemma":0.05646279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9848233,"about_ca_topic_score_gemma":0.9900464,"domain_scores_codex":[0.9958314,0.001149935,0.000180969,0.0006633638,0.001453113,0.000721248],"domain_scores_gemma":[0.988349,0.001773409,0.0006492601,0.0007197958,0.007224397,0.0012841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003014915,0.0001558167,0.155252,0.001506544,0.0001354046,0.001607833,0.3766847,0.0007817828,0.003386069,0.03577294,0.08754085,0.3368746],"study_design_scores_gemma":[0.00001410365,0.00005554118,0.166371,0.0009845548,0.00008080422,0.0003547759,0.2099259,0.0007010063,0.001033241,0.0008790556,0.6194649,0.0001350122],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6318319,0.009794438,0.00817862,0.0169407,0.0006636077,0.0005174351,0.009454668,0.0006926425,0.321926],"genre_scores_gemma":[0.8918723,0.003679067,0.004578573,0.001425034,0.00005285805,0.0002119854,0.00166437,0.000125457,0.09639043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9509739,"threshold_uncertainty_score":0.3557112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05498457144078589,"score_gpt":0.3112134336914059,"score_spread":0.25622886225062,"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."}}