{"id":"W3165543964","doi":"10.21083/partnership.v16i1.5770","title":"Connections Beyond Campus: Ontario University Library Outreach Programs for High Schools","year":2021,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Council of University Libraries; University of Toronto","funders":"","keywords":"Outreach; Library science; Mathematics education; Computer science; Sociology; Political science; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001652098,0.0000657724,0.0001001631,0.0003390348,0.00253461,0.002441526,0.0002821023,0.0000921485,0.0003374729],"category_scores_gemma":[0.0007417567,0.0000500888,0.00004213186,0.0007708083,0.0004683402,0.1451603,0.00004736374,0.0005487492,0.00001121511],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004359934,"about_ca_system_score_gemma":0.008648923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007231824,"about_ca_topic_score_gemma":0.006798834,"domain_scores_codex":[0.9984537,0.0005265194,0.0002890285,0.00007028926,0.0003383169,0.0003220899],"domain_scores_gemma":[0.9979053,0.0008484655,0.000214695,0.0001054405,0.0003181565,0.0006079662],"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":[0.00009610477,0.00001435808,0.007318372,0.00002261114,0.00003410396,0.00001369685,0.04109637,0.000004952096,4.14659e-7,0.8941927,0.04768977,0.009516542],"study_design_scores_gemma":[0.0002750207,0.00009330257,0.002392964,0.00002818825,0.00001176393,0.00004410463,0.09082533,0.00001362185,0.00003087132,0.005399557,0.9008216,0.00006368705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1035287,0.0006123623,0.00005085945,0.6158792,0.0004020853,0.0006054457,0.00003548351,0.00002624322,0.2788596],"genre_scores_gemma":[0.9553932,0.001415409,0.002171617,0.01261506,0.0004066718,0.000006100553,0.0001244889,0.000007697832,0.02785976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8887932,"threshold_uncertainty_score":0.9993791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05183177559026721,"score_gpt":0.3199696846534849,"score_spread":0.2681379090632177,"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."}}