{"id":"W4403433757","doi":"10.1002/pra2.1089","title":"Roles and Responsibilities in University‐Community Engagement for Library and Information Scientists","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University; University of Alberta; Simon Fraser University; University of British Columbia","funders":"","keywords":"Community engagement; Library science; Sociology; Political science; Public relations; Engineering ethics; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08707565,0.0006611081,0.0009788717,0.005064708,0.06755573,0.04425055,0.00256426,0.007968578,0.01074411],"category_scores_gemma":[0.0424764,0.001167597,0.0008743302,0.003594806,0.03782043,0.01482361,0.05797797,0.008756018,0.001888522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01055952,"about_ca_system_score_gemma":0.04603171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008097896,"about_ca_topic_score_gemma":0.01489842,"domain_scores_codex":[0.8489051,0.1283787,0.00233634,0.003045325,0.005417941,0.01191659],"domain_scores_gemma":[0.9148486,0.03957574,0.003194141,0.003196424,0.007077084,0.03210802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001225616,0.0003157071,0.01171101,0.0002375635,0.00002635295,0.0006308188,0.8441556,0.0001137644,0.0009413926,0.05931946,0.01411318,0.06831256],"study_design_scores_gemma":[0.00003299095,0.0001114311,0.002666656,0.0003873058,0.00001883335,0.0004662955,0.7648319,0.000228912,0.0004272497,0.02312456,0.2076345,0.00006942838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.448744,0.01332576,0.01398136,0.1866225,0.003150201,0.0007580639,0.00008357552,0.0004159147,0.3329186],"genre_scores_gemma":[0.9753211,0.002111946,0.002265985,0.005551453,0.000330283,0.000333325,0.00003007963,0.00007085083,0.01398496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08707565,"threshold_uncertainty_score":0.4605055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687671239732731,"score_gpt":0.2587573900839638,"score_spread":0.2418806776866365,"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."}}