{"id":"W1604188735","doi":"10.32920/ryerson.14639046.v1","title":"Libraries And Learning (With Or Without The “E”, “M” OR “I”)","year":2021,"lang":"en","type":"article","venue":"","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematics education; Business; Psychology; Computer science","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":[0.002443167,0.0004544599,0.000547293,0.002895244,0.004195672,0.01206113,0.0008377635,0.00404555,0.2973296],"category_scores_gemma":[0.01263035,0.0002715701,0.0005175247,0.005081825,0.005011818,0.007145969,0.005672336,0.001573236,0.2003813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814643,"about_ca_system_score_gemma":0.005402768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002846736,"about_ca_topic_score_gemma":0.006789536,"domain_scores_codex":[0.9945866,0.001759344,0.0005722555,0.0006213664,0.001740946,0.0007193453],"domain_scores_gemma":[0.9927099,0.001949274,0.001054286,0.001099593,0.001158314,0.002028612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001089993,0.0001226965,0.00156534,0.0003079124,0.00001684769,0.0001398178,0.0005273648,0.00008511477,0.0005252836,0.06434294,0.7581537,0.174104],"study_design_scores_gemma":[0.00002242061,0.00006078417,0.002734928,0.0002244069,0.00001061667,0.0001446695,0.0006385801,0.00007750259,0.0008135036,0.009263143,0.985987,0.00002241783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.003165232,0.002916817,0.0007555766,0.03556307,0.007492032,0.00004247823,0.0006063377,0.0006182519,0.9488401],"genre_scores_gemma":[0.08424762,0.005043344,0.001605739,0.02696218,0.00815571,0.0001199701,0.000560228,0.0002925365,0.8730126],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2973296,"threshold_uncertainty_score":0.9946665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04454526151604045,"score_gpt":0.3029679386948582,"score_spread":0.2584226771788177,"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."}}