{"id":"W4285465091","doi":"10.32920/ryerson.14639046","title":"Libraries And Learning (With Or Without The “E”, “M” OR “I”)","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":"Toronto Metropolitan University","funders":"","keywords":"E learning; Mathematics education; Psychology; Computer science; Educational technology","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":[0.001596156,0.0004737674,0.0006834861,0.002252504,0.002097765,0.008566001,0.0004977519,0.003102392,0.08966628],"category_scores_gemma":[0.00706797,0.0002732226,0.0004497433,0.007670624,0.003889282,0.007430411,0.00225238,0.001328826,0.03510942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002990765,"about_ca_system_score_gemma":0.003525525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006342947,"about_ca_topic_score_gemma":0.004444983,"domain_scores_codex":[0.9982048,0.0006093712,0.0001154138,0.0002790253,0.0006217782,0.0001695637],"domain_scores_gemma":[0.9975369,0.001006705,0.0003284989,0.0004322581,0.0003437305,0.0003519258],"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":[0.00008340929,0.00009155007,0.001277935,0.0002193598,0.00002897288,0.0001099085,0.0007612856,0.0004426889,0.0003699753,0.6483311,0.2554111,0.0928727],"study_design_scores_gemma":[0.00006026515,0.00003807932,0.004771601,0.0001940158,0.0000460404,0.000242235,0.0009705315,0.001308427,0.002073025,0.4883623,0.5018937,0.00003987046],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01529438,0.004515134,0.008597949,0.06895968,0.004207893,0.00003785958,0.002052169,0.001337562,0.8949974],"genre_scores_gemma":[0.4721868,0.01047544,0.00553411,0.004961506,0.006675754,0.0001074878,0.001449648,0.0008671507,0.4977421],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.08966628,"threshold_uncertainty_score":0.2999636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05896960850647126,"score_gpt":0.3176872678911253,"score_spread":0.2587176593846541,"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."}}