{"id":"W3201291381","doi":"10.1093/ae/tmab045","title":"Profiles of ESA Member Diversity: Navneet Kaur (P-IE and PBT Sections) and Tanja McKay (MUVE Section)","year":2021,"lang":"en","type":"article","venue":"American Entomologist","topic":"Space exploration and regulation","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Diversity (politics); Art; Sociology; Computer science; Operating system; Anthropology","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":[],"consensus_categories":[],"category_scores_codex":[0.003072519,0.0003765584,0.0002977171,0.001398546,0.005644814,0.0050426,0.0008250374,0.001532785,0.0640453],"category_scores_gemma":[0.00839323,0.0002577615,0.0001854856,0.001332224,0.0009057063,0.002716512,0.004345849,0.002113028,0.02415196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002053769,"about_ca_system_score_gemma":0.003454634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006833162,"about_ca_topic_score_gemma":0.01088644,"domain_scores_codex":[0.9982084,0.0002802659,0.00006355777,0.000195135,0.0008578975,0.0003947628],"domain_scores_gemma":[0.9881852,0.000710258,0.0005894128,0.0002360449,0.003671141,0.006607991],"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":[0.00005249547,0.00004670237,0.009325113,0.0001493521,0.00000516795,0.0006741784,0.01218663,0.00004629167,0.001516266,0.002237159,0.9146237,0.05913682],"study_design_scores_gemma":[0.000002589663,0.00003007426,0.009653499,0.0001309542,0.000001567388,0.0006528213,0.01577519,0.000047183,0.0001217886,0.0001426953,0.9734282,0.00001348436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.184347,0.02128134,0.002724009,0.261362,0.02640244,0.0005734991,0.00266623,0.001817896,0.4988256],"genre_scores_gemma":[0.1718166,0.009919157,0.00162217,0.05431737,0.003857184,0.0003525473,0.001290803,0.0009640621,0.7558601],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0640453,"threshold_uncertainty_score":0.2142529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543796449597449,"score_gpt":0.2549262770543632,"score_spread":0.2394883125583887,"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."}}