{"id":"W3001299569","doi":"10.24908/pceea.vi0.13836","title":"COMMUNITY FINDING AS LEARNING: IMPACTS OF A NOVEL MODEL FOR COMMUNITY ENGAGED, PROJECT BASED LEARNING IN ENGINEERING","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Preference; Community engagement; Stakeholder; Investment (military); Community design; Stakeholder engagement; Psychology; Pedagogy; Knowledge management; Public relations; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.009900433,0.0005594981,0.0003106295,0.001004968,0.003287447,0.007233746,0.002790876,0.002580212,0.008041426],"category_scores_gemma":[0.0206853,0.0003502559,0.0008594086,0.0006494976,0.009349939,0.007697742,0.01008088,0.002782602,0.00114439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002534897,"about_ca_system_score_gemma":0.004510187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002319774,"about_ca_topic_score_gemma":0.003304352,"domain_scores_codex":[0.987578,0.009432974,0.000174564,0.0008872157,0.001493588,0.0004335801],"domain_scores_gemma":[0.9777074,0.01536407,0.001035726,0.002606855,0.0008966629,0.002389371],"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":[0.000417968,0.004914745,0.009097816,0.0006118437,0.00006613454,0.0008727761,0.08588668,0.01074956,0.007241184,0.6222954,0.005637451,0.2522085],"study_design_scores_gemma":[0.0008801579,0.005939961,0.007938267,0.0007864886,0.0001704663,0.001949175,0.07759676,0.1464122,0.006444579,0.4860687,0.2655428,0.000270481],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2552153,0.0003718555,0.4862932,0.02201634,0.0005322562,0.001906457,0.00007096661,0.0008487329,0.2327449],"genre_scores_gemma":[0.8406546,0.0001861115,0.1451877,0.0008706094,0.00009273074,0.0008822351,0.00003435841,0.00009923901,0.01199244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009900433,"threshold_uncertainty_score":0.05235916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139212691492698,"score_gpt":0.2384694976553463,"score_spread":0.2170773707404193,"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."}}