{"id":"W3215884223","doi":"","title":"Interview with Dr. Ayesha Khan: Exploring Equity, Diversity and Inclusion in Education","year":2021,"lang":"en","type":"article","venue":"Sciential - McMaster Undergraduate Science Journal","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inclusion (mineral); Equity (law); Empowerment; Diversity (politics); Sociology; Library science; Gender equity; Public relations; Political science; Gender studies; Law; Anthropology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0054944,0.0005764565,0.001029773,0.001046771,0.01319587,0.003326217,0.001178894,0.007437223,0.007883395],"category_scores_gemma":[0.02313969,0.0007738969,0.0005850981,0.001113643,0.003344995,0.004643569,0.003931428,0.01858733,0.002407447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007711037,"about_ca_system_score_gemma":0.008969024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03236201,"about_ca_topic_score_gemma":0.03949087,"domain_scores_codex":[0.9951577,0.002785521,0.0002441718,0.0003627091,0.0006715538,0.0007783763],"domain_scores_gemma":[0.986013,0.004661403,0.0009527521,0.0002036514,0.004193237,0.003975927],"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":[0.0001319592,0.00019394,0.005751531,0.0004118424,0.00001754002,0.003715782,0.4790227,0.000343652,0.002153234,0.005513053,0.48417,0.01857482],"study_design_scores_gemma":[0.00001753945,0.0001125828,0.002612606,0.0003454754,0.00000889991,0.002792434,0.6362705,0.0003722677,0.0005836443,0.001464585,0.3552864,0.0001330664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.08204073,0.004412938,0.002403491,0.8896139,0.005865102,0.000595382,0.0007348166,0.0001208334,0.01421286],"genre_scores_gemma":[0.4633571,0.006650893,0.00513268,0.4609247,0.002162933,0.001474736,0.0002561249,0.0001464857,0.05989419],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03236201,"threshold_uncertainty_score":0.06434727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2157556142973266,"score_gpt":0.4276689322590213,"score_spread":0.2119133179616947,"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."}}