{"id":"W2614034809","doi":"","title":"Participation Trends In And Lessons Learned From Outreach","year":2007,"lang":"en","type":"article","venue":"Women in Engineering ProActive Network","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Outreach; Engineering ethics; Engineering; Engineering management; Political science; Computer science","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":[0.01886457,0.0002569376,0.0002988093,0.001380311,0.002270611,0.003824751,0.001789593,0.001751428,0.008155265],"category_scores_gemma":[0.03587169,0.0003117527,0.0002854385,0.001807771,0.001403035,0.00515241,0.002978215,0.002584426,0.0006411536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004713857,"about_ca_system_score_gemma":0.00642409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02562775,"about_ca_topic_score_gemma":0.04707447,"domain_scores_codex":[0.9877543,0.006990519,0.0004067791,0.001009759,0.001868416,0.001970212],"domain_scores_gemma":[0.962173,0.0223018,0.002033365,0.0009636036,0.005761858,0.006766382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009246481,0.001739798,0.3267167,0.0008550304,0.00005897732,0.0006784385,0.1143005,0.0007165103,0.001662187,0.01547743,0.01717542,0.5196944],"study_design_scores_gemma":[0.00006331473,0.001484878,0.582759,0.001262308,0.000061149,0.0004728721,0.3037105,0.001882223,0.002592471,0.008287407,0.09733444,0.00008955637],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8794279,0.001896169,0.002711833,0.07022462,0.0003614248,0.0002111747,0.0006048361,0.00008012314,0.04448191],"genre_scores_gemma":[0.9887943,0.0008312973,0.0006839255,0.001518081,0.0001225193,0.0001218322,0.0002028947,0.00003698139,0.007688302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02562775,"threshold_uncertainty_score":0.09976661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1983696644447026,"score_gpt":0.4600124918212262,"score_spread":0.2616428273765236,"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."}}