{"id":"W2223180117","doi":"","title":"Grassroots Projects: Fostering and supporting an institute-wide culture of innovation","year":2005,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Grassroots; Public relations; Political science; Engineering ethics; Sociology; Public administration; Economic growth; Engineering; Politics; Law; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01940584,0.0005653848,0.000226696,0.001719014,0.00923827,0.008821527,0.002423913,0.002093976,0.005536761],"category_scores_gemma":[0.03671922,0.0003902222,0.0003415019,0.001389603,0.008669959,0.006164021,0.02110289,0.004976118,0.001336104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00329982,"about_ca_system_score_gemma":0.02219479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001463225,"about_ca_topic_score_gemma":0.005865984,"domain_scores_codex":[0.9857839,0.008264684,0.000273822,0.001091072,0.002884815,0.001701689],"domain_scores_gemma":[0.9528057,0.01246053,0.003115666,0.007533396,0.003036169,0.0210485],"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":[0.0001954106,0.002640099,0.03164046,0.0003753545,0.0001114205,0.0008971295,0.1328832,0.002544077,0.01006238,0.1584307,0.07406731,0.5861524],"study_design_scores_gemma":[0.000441986,0.001833016,0.04507401,0.0006522661,0.0001066118,0.0006775252,0.15172,0.00600413,0.006285301,0.2640589,0.5229467,0.0001996333],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6841305,0.000771114,0.07769416,0.04574572,0.001771333,0.0009961441,0.0000969634,0.001721453,0.1870726],"genre_scores_gemma":[0.940169,0.0002823754,0.04109642,0.002019801,0.00011104,0.0003565385,0.00007913618,0.0003006457,0.01558502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01940584,"threshold_uncertainty_score":0.1026291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06336428670897361,"score_gpt":0.2946806766493809,"score_spread":0.2313163899404073,"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."}}