{"id":"W4220806961","doi":"10.3138/cjpe.71043","title":"Advancing a Competency-Based Mixed Methods Tool to Assess a Course-Based Service-Learning Model Integrating Real-World Experience","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Course (navigation); Service-learning; Knowledge management; Service (business); Multimethodology; Service model; Psychology; Medical education; Computer science; Process management; Mathematics education; Pedagogy; Engineering; Business; Marketing; Medicine","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"],"consensus_categories":[],"category_scores_codex":[0.01854468,0.0001655699,0.0002678057,0.0005390635,0.003029129,0.000323064,0.0007558895,0.00004804773,0.0005015209],"category_scores_gemma":[0.001511792,0.0001864343,0.0001192381,0.001723387,0.00006063855,0.0002598302,0.00004364023,0.001041654,0.000002936628],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001988112,"about_ca_system_score_gemma":0.0158342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04775806,"about_ca_topic_score_gemma":0.4308312,"domain_scores_codex":[0.9919927,0.005482102,0.0005483525,0.0002102572,0.001202585,0.0005640205],"domain_scores_gemma":[0.996643,0.0005214425,0.0005369412,0.0002526467,0.00144901,0.0005969488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002154902,0.00006340132,0.003800335,0.00001372024,0.00001775832,0.000006945384,0.03075795,0.6463323,0.0001529968,0.001023366,0.00008980192,0.3177199],"study_design_scores_gemma":[0.0006084769,0.0004097388,0.002237708,0.0001538043,0.0001066738,0.00000196239,0.1316784,0.8359178,0.0000723846,0.0006653874,0.02787255,0.0002751493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.886904,0.0001720205,0.0910389,0.0117569,0.001160956,0.002164212,0.000007258301,0.0001494624,0.006646275],"genre_scores_gemma":[0.7198706,0.000001067284,0.2786364,0.0009860565,0.00006956991,0.0003574158,0.00001828934,0.00002075907,0.00003986229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3830732,"threshold_uncertainty_score":0.9982688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1576615555459938,"score_gpt":0.4683620473405492,"score_spread":0.3107004917945554,"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."}}