{"id":"W4408425238","doi":"10.5194/egusphere-egu25-6886","title":"Embedding Equity, Diversity, Inclusion and Accessibility (EDIA) within a Professional Geoscientist&amp;#8217;s Lifestyle","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Embedding; Equity (law); Inclusion (mineral); Diversity (politics); Political science; Sociology; Gender studies; Computer science; Artificial intelligence; Law","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":[0.009276875,0.0002865982,0.0003471425,0.0009817297,0.01013166,0.01629547,0.0009340113,0.003646519,0.01423208],"category_scores_gemma":[0.01349131,0.0002459633,0.0003261514,0.00114979,0.02748949,0.008186958,0.01618049,0.004697059,0.002207379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007578325,"about_ca_system_score_gemma":0.01804921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009073896,"about_ca_topic_score_gemma":0.01734915,"domain_scores_codex":[0.9902671,0.005711144,0.0002699274,0.0005233638,0.002132862,0.001095524],"domain_scores_gemma":[0.9871175,0.005170776,0.0007040303,0.001467009,0.001489426,0.004051355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002080788,0.00007204944,0.002517318,0.0001837947,0.000005559863,0.0002667343,0.1627433,0.0001541703,0.0007311594,0.7325312,0.02881482,0.07195899],"study_design_scores_gemma":[0.00001098349,0.00006848113,0.00374305,0.0005441695,0.000009153258,0.0004384885,0.1418441,0.0003561406,0.0007576005,0.2096084,0.6425869,0.0000325672],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07359982,0.002112617,0.0312758,0.1520165,0.002480216,0.0002652813,0.00009399287,0.000220494,0.7379353],"genre_scores_gemma":[0.8804775,0.001625128,0.01495899,0.008231572,0.0004224343,0.0002234334,0.00006067601,0.0001757047,0.09382448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01629547,"threshold_uncertainty_score":0.05498487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117490727364282,"score_gpt":0.5169843347392477,"score_spread":0.4052352620028195,"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."}}