{"id":"W3031275771","doi":"10.7202/1068826ar","title":"Rénover ou construire pour mieux les accueillir : les retombées de l’aménagement des bibliothèques sur les usagers des bibliothèques publiques au Québec","year":2020,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Library Science and Administration","field":"Social Sciences","cited_by":1,"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":true,"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":[0.00731436,0.0004748898,0.0005912785,0.005084941,0.01021318,0.01122781,0.001594708,0.001179601,0.01637156],"category_scores_gemma":[0.02382955,0.000413351,0.0004640527,0.01034535,0.006305285,0.005726447,0.003702014,0.001964938,0.001918576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03824709,"about_ca_system_score_gemma":0.07938366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8970282,"about_ca_topic_score_gemma":0.9440323,"domain_scores_codex":[0.9929017,0.002346785,0.0003011253,0.0008003874,0.00277088,0.0008790875],"domain_scores_gemma":[0.9781339,0.005571553,0.001833174,0.001366539,0.01139017,0.001704607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001766134,0.0001395786,0.119657,0.003092687,0.0001854294,0.001047546,0.4195082,0.0007475756,0.00353312,0.05117232,0.04430038,0.3564395],"study_design_scores_gemma":[0.00001829738,0.00007248523,0.2112046,0.003747661,0.0001938376,0.0001993514,0.3093446,0.0008231418,0.001475239,0.00379418,0.4689815,0.0001450068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6338317,0.0147861,0.01468137,0.03582619,0.000714071,0.0006123165,0.00454067,0.0005404293,0.2944671],"genre_scores_gemma":[0.8997282,0.007795246,0.01041433,0.002709317,0.0001104292,0.0004289835,0.001569277,0.0002878603,0.07695625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1029718,"threshold_uncertainty_score":0.2775034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08521304030390743,"score_gpt":0.3511480662781518,"score_spread":0.2659350259742444,"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."}}