{"id":"W1585963757","doi":"10.15353/joci.v8i1.3065","title":"A Case Study: Growing Community Partnerships with a Service-Learning Intergenerational Computing Course","year":2012,"lang":"en","type":"article","venue":"The Journal of Community Informatics","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Perspective (graphical); Service-learning; Service (business); Medical education; Psychology; Class (philosophy); Field (mathematics); Aging in place; Work (physics); Gerontology; Pedagogy; Public relations; Sociology; Medicine; Computer science; Political science; Engineering; Marketing; Business; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01575326,0.0001423375,0.0002542795,0.0001192547,0.005092222,0.0001006692,0.001114299,0.00008836375,0.00001423924],"category_scores_gemma":[0.0005298764,0.00009750285,0.0000485218,0.0004742903,0.0003353515,0.001511051,0.0003615003,0.003800545,0.000007931865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001210735,"about_ca_system_score_gemma":0.0002175401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002500257,"about_ca_topic_score_gemma":0.01067879,"domain_scores_codex":[0.9926121,0.005812088,0.0006742044,0.000007878481,0.0005328662,0.0003608569],"domain_scores_gemma":[0.9960614,0.001906576,0.000876134,0.0004122052,0.000591487,0.0001522172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003191184,0.0004621542,0.02509111,0.00002332182,0.0001397812,0.000007124965,0.9712135,0.0009404414,0.00000345506,0.0005358586,0.0001748721,0.001376517],"study_design_scores_gemma":[0.0006367115,0.0003402531,0.002015404,0.00008427449,0.0001434092,0.002671855,0.992384,0.0005003828,0.00001876926,0.0000669948,0.001022095,0.0001159012],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959198,0.00003049784,0.001481601,0.00125858,0.0001370234,0.0002011334,9.206884e-7,0.0000691128,0.0009013794],"genre_scores_gemma":[0.9984786,0.000008551771,0.0007203339,0.0006487445,0.0001200858,0.00000114638,0.000001801716,0.00001061988,0.00001015194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02307571,"threshold_uncertainty_score":0.9984977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09859308193392395,"score_gpt":0.3439090096820047,"score_spread":0.2453159277480808,"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."}}