{"id":"W2475092493","doi":"10.15402/esj.v1i2.117","title":"Charting the Trajectory of a Flexible Community-University Collaboration in an Applied Learning Ecosystem","year":2016,"lang":"en","type":"article","venue":"Engaged Scholar Journal Community-Engaged Research Teaching and Learning","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Centre for Advancing Health Outcomes","funders":"","keywords":"General partnership; Community engagement; Context (archaeology); Experiential learning; Flexibility (engineering); Public relations; Service-learning; Service (business); Community organization; Sociology; Knowledge management; Political science; Business; Pedagogy; Marketing; Management; Computer science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02268728,0.0003397542,0.0004064119,0.002726987,0.02394578,0.02649133,0.002449486,0.004516063,0.005401546],"category_scores_gemma":[0.01945718,0.0006844048,0.0005897802,0.002639886,0.01370222,0.0187621,0.02347885,0.005923579,0.001041423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01013877,"about_ca_system_score_gemma":0.02152965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009639181,"about_ca_topic_score_gemma":0.02322208,"domain_scores_codex":[0.9827252,0.01124974,0.0004891445,0.0008383441,0.001935362,0.002762334],"domain_scores_gemma":[0.98237,0.004528222,0.00151234,0.001303109,0.00235516,0.00793112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003786598,0.00110937,0.0689505,0.0004478423,0.00006489038,0.009108865,0.3563483,0.004059977,0.004567129,0.3602496,0.01347326,0.1812416],"study_design_scores_gemma":[0.00006405138,0.0006306946,0.03510394,0.000659083,0.00002461963,0.002643326,0.6486812,0.005943596,0.001413048,0.1160314,0.1886052,0.0001998824],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7879842,0.00175204,0.05641727,0.06438055,0.0003676955,0.001176245,0.0002402165,0.000475817,0.08720598],"genre_scores_gemma":[0.9739734,0.0004399742,0.02111208,0.0006256002,0.00002096948,0.0001980299,0.00006694837,0.00004877486,0.003514244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02649133,"threshold_uncertainty_score":0.1199833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.334630157187209,"score_gpt":0.4936869298633171,"score_spread":0.1590567726761081,"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."}}