{"id":"W2603402957","doi":"10.1332/174426416x14614935571225","title":"Information into knowledge: navigating the complexity in the campus community engagement context","year":2016,"lang":"en","type":"article","venue":"Evidence & Policy","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Knowledge management; Key (lock); Context (archaeology); Community engagement; Process (computing); Computer science; Data science; Public relations; Psychology; Political science; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01240731,0.000112944,0.0001151646,0.00005874023,0.004130664,0.0002340446,0.00165642,0.00005261867,0.00007944412],"category_scores_gemma":[0.004726323,0.00005991182,0.00005308121,0.00062745,0.0006912442,0.0008615747,0.0003751501,0.001200486,0.0002804652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003846523,"about_ca_system_score_gemma":0.0003214885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2353677,"about_ca_topic_score_gemma":0.09693191,"domain_scores_codex":[0.9887645,0.01014791,0.0002904534,0.00006324029,0.0003998785,0.000334074],"domain_scores_gemma":[0.9945909,0.00439266,0.0001648708,0.0006501023,0.000145147,0.00005631488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006127163,0.00004054327,0.003064183,0.00001491602,0.000005639105,1.534803e-7,0.6786048,0.000003871817,0.00001359123,0.08312391,0.0008340151,0.2342883],"study_design_scores_gemma":[0.0002901638,0.00006991062,0.05253221,0.0007911121,0.000009853552,9.157959e-7,0.7055847,0.00002909394,0.00003255573,0.01787707,0.2226169,0.0001654383],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8534593,0.0003180901,0.0001900142,0.1207249,0.0001508899,0.0005200574,0.000001683195,0.00008898282,0.02454605],"genre_scores_gemma":[0.9946951,0.0002165793,0.00004559239,0.004641311,0.0001980047,0.00007401242,0.000002121282,0.00000448269,0.0001228095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2341228,"threshold_uncertainty_score":0.9971658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2140720243107957,"score_gpt":0.4277075607680591,"score_spread":0.2136355364572634,"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."}}