{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","bibliometrics","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","bibliometrics","insufficient_payload"],"category_scores_codex":[0.0444902,0.0005144498,0.001187005,0.01153908,0.0008940679,0.002149037,0.01007458,0.0006723597,0.002274161],"category_scores_gemma":[0.02143323,0.0003939573,0.00009783769,0.05273024,0.001353006,0.0007938583,0.005718184,0.004601536,0.001243276],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005932764,"about_ca_system_score_gemma":0.05089696,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07747582,"about_ca_topic_score_gemma":0.5508811,"domain_scores_codex":[0.9715244,0.0007153903,0.002197428,0.002357065,0.0192139,0.003991883],"domain_scores_gemma":[0.984862,0.004032738,0.0002653405,0.002529208,0.006692855,0.001617809],"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":[0.00005074744,0.00005272293,0.00006896118,0.00009210415,0.00002030505,0.0003647215,0.001651811,0.0001586355,0.0002608576,0.008327819,0.985848,0.003103277],"study_design_scores_gemma":[0.0003453419,0.0006879134,0.00005478572,0.0003557502,0.000001629288,0.00001986977,0.0814093,0.009569745,0.0008624833,0.02641647,0.8798095,0.0004671995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03904228,0.004016175,0.0008124598,0.2414624,0.004766545,0.007464764,0.0006035132,0.0005986663,0.7012331],"genre_scores_gemma":[0.07146856,0.0002894283,0.003484994,0.0002172453,0.002270934,0.0008468522,0.00004228314,0.0001643858,0.9212153],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4734053,"threshold_uncertainty_score":0.9998512,"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."}}