{"id":"W3167898284","doi":"","title":"Research Guides: Women in STEM (Science, Technology, Engineering, Mathematics): New Canada Research Chairs: 2020","year":2020,"lang":"en","type":"libguides","venue":"","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering ethics; Women in science; Engineering; Engineering management; Computer science; Sociology; Gender studies","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002441571,0.001281859,0.0007975819,0.003197423,0.00966404,0.005097349,0.001522263,0.002753361,0.4261992],"category_scores_gemma":[0.003541935,0.0009767249,0.0004924001,0.004096566,0.001410326,0.002573679,0.002950782,0.002735118,0.2393487],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02238199,"about_ca_system_score_gemma":0.1095346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8196772,"about_ca_topic_score_gemma":0.9599229,"domain_scores_codex":[0.99842,0.00008644626,0.00004166385,0.0001164132,0.0008863348,0.0004491285],"domain_scores_gemma":[0.9872648,0.0003151206,0.0001175203,0.0001227073,0.00674376,0.005436173],"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":[0.00000614441,0.000008867176,0.0001139157,0.0000305706,2.619634e-7,0.000005130235,0.00006514219,0.00001067975,0.00003770467,0.0004460455,0.9882495,0.01102607],"study_design_scores_gemma":[0.000004413565,0.000008156948,0.001215345,0.00007310498,0.000001605475,0.000006867385,0.0005224473,0.00001954287,0.000063867,0.0001727187,0.9979061,0.000005968399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00177229,0.005033021,0.0008069712,0.02887427,0.005824078,0.0008860698,0.02102509,0.001536016,0.9342422],"genre_scores_gemma":[0.001284295,0.001570808,0.0004172108,0.001450867,0.0001175816,0.0001172349,0.001965961,0.0001938607,0.9928821],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9984778,"threshold_uncertainty_score":0.8184572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1711910339200662,"score_gpt":0.4627933418042289,"score_spread":0.2916023078841626,"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."}}