{"id":"W4410197660","doi":"10.24135/pjtel.v7i2.224","title":"Bridging Engagement and Learning Outcomes","year":2025,"lang":"en","type":"article","venue":"Pacific Journal of Technology Enhanced Learning","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridging (networking); Psychology; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004159817,0.0001499375,0.0003542461,0.0008171385,0.002078745,0.0001031884,0.0004382804,0.0001810743,0.00006944031],"category_scores_gemma":[0.002888264,0.0001464548,0.00009121258,0.0007448926,0.0002747875,0.000163902,0.0002136533,0.003196804,0.00001084052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001306084,"about_ca_system_score_gemma":0.0001300233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006344835,"about_ca_topic_score_gemma":0.00002601803,"domain_scores_codex":[0.9975212,0.001201509,0.0004180614,0.0001711838,0.0002986245,0.0003894051],"domain_scores_gemma":[0.9985435,0.0005482301,0.0004224418,0.000163211,0.0002543333,0.00006825809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003067064,0.00007051741,0.1073062,0.00003851308,0.0002547356,0.00001862454,0.02447801,0.00146484,0.003399633,0.01061022,0.0001207552,0.8522073],"study_design_scores_gemma":[0.001213553,0.0003307221,0.009461652,0.00060448,0.0001353831,0.00001311609,0.5141913,0.0002435994,0.003194786,0.003467811,0.4667642,0.0003793591],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8635994,0.001805799,0.0186224,0.009667145,0.0005100364,0.0001323913,9.556322e-8,0.0003253075,0.1053374],"genre_scores_gemma":[0.9908948,0.00100921,0.002218008,0.00007945234,0.0000482123,0.000005677137,4.571743e-7,0.00001209863,0.005732072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8518279,"threshold_uncertainty_score":0.9992204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536624839569731,"score_gpt":0.3077001855858622,"score_spread":0.2923339371901648,"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."}}