{"id":"W4391599281","doi":"10.18260/1-2--43458","title":"Impact and Lessons Learned: Student Day at ETSU Equity and Inclusion Conference","year":2024,"lang":"en","type":"article","venue":"","topic":"Higher Education Practises and Engagement","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Council for Canadian Studies; Tennessee Department of Transportation; American Society for Engineering Education; U.S. Department of Transportation; National Science Foundation","keywords":"Equity (law); Inclusion (mineral); Computer science; Mathematics education; Mathematics; Psychology; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007741276,0.001399818,0.0007430575,0.0006966153,0.01174279,0.01286312,0.003815565,0.008140752,0.08248481],"category_scores_gemma":[0.008605233,0.0004430577,0.00129535,0.000469254,0.001763215,0.00501339,0.01498764,0.01509042,0.01850265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002721218,"about_ca_system_score_gemma":0.008468823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003676262,"about_ca_topic_score_gemma":0.0123316,"domain_scores_codex":[0.9951029,0.00150026,0.000111828,0.0003150058,0.001092032,0.001877897],"domain_scores_gemma":[0.9767131,0.0007979955,0.0001966119,0.0003046832,0.001886987,0.02010049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001882415,0.001237993,0.002099901,0.000240489,0.00002098522,0.0008993243,0.003464265,0.0002650065,0.0004864903,0.002438143,0.9279693,0.06068983],"study_design_scores_gemma":[0.0000960456,0.00086605,0.006769492,0.0006053842,0.00001538793,0.000279143,0.03373745,0.0004059654,0.0006654023,0.002894321,0.9535619,0.0001034048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05348689,0.003801675,0.002549751,0.5143068,0.2127205,0.001037786,0.001706201,0.001598737,0.2087917],"genre_scores_gemma":[0.3440889,0.006026274,0.006515607,0.1715299,0.0474361,0.001689744,0.003087769,0.001049508,0.4185763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08248481,"threshold_uncertainty_score":0.2759392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1899878030183299,"score_gpt":0.528544208443035,"score_spread":0.3385564054247051,"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."}}