{"id":"W4232665763","doi":"10.32920/ryerson.14639820.v1","title":"The library as congenial space: the Saint Mary’s experience","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"SAINT; Space (punctuation); Computer science; Art; Art history","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003523136,0.0006514362,0.0007497907,0.001044468,0.05354273,0.02011851,0.001621885,0.007390093,0.01849617],"category_scores_gemma":[0.006178527,0.0007224948,0.0004736665,0.001921938,0.02791188,0.009172386,0.01536399,0.01793748,0.002141436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01201262,"about_ca_system_score_gemma":0.01163137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06682554,"about_ca_topic_score_gemma":0.1253177,"domain_scores_codex":[0.9947348,0.003437349,0.00007994151,0.000250476,0.0004367838,0.001060828],"domain_scores_gemma":[0.9954134,0.001331029,0.0002634102,0.0001661428,0.0005126714,0.002313396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003658363,0.0000428673,0.0004330129,0.00003915762,0.000004781387,0.001528173,0.9068149,0.00003485682,0.0001634655,0.06484311,0.02242066,0.003638435],"study_design_scores_gemma":[0.000006883954,0.00003046011,0.0004899476,0.00008732148,0.000005668459,0.0007340129,0.6241265,0.00005269392,0.0001488312,0.003400108,0.3708881,0.00002942608],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4072985,0.004365611,0.001274901,0.1929737,0.002896222,0.00005105511,0.0001236467,0.0001526603,0.3908638],"genre_scores_gemma":[0.8679537,0.001682321,0.0002932272,0.01221433,0.0004623519,0.00003072234,0.00002514069,0.0001966835,0.1171416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06682554,"threshold_uncertainty_score":0.1328731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888408466589329,"score_gpt":0.3151719230459829,"score_spread":0.2862878383800896,"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."}}