{"id":"W4321180368","doi":"10.1029/2022ef002957","title":"Strategies for and Barriers to Collaboratively Developing Anti‐Racist Policies and Resources as Described by Geoscientists of Color Participating in the Unlearning Racism in Geoscience (URGE) Program","year":2023,"lang":"en","type":"article","venue":"Earth s Future","topic":"Adventure Sports and Sensation Seeking","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"National Science Foundation","keywords":"Tokenism; Racism; White (mutation); Public relations; Political science; Psychology; Criminology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008811115,0.000115726,0.0001942079,0.0001919739,0.0002715564,0.0001498465,0.0001039012,0.0000716887,0.00001577081],"category_scores_gemma":[0.0002315529,0.00008829718,0.0000155009,0.001223039,0.000159429,0.0001325245,0.00003798415,0.0001265274,0.000001129309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007905022,"about_ca_system_score_gemma":0.00008228697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003049579,"about_ca_topic_score_gemma":0.001355135,"domain_scores_codex":[0.9987903,0.0001212285,0.0002787634,0.0002920762,0.0001727175,0.0003448935],"domain_scores_gemma":[0.9994556,0.0001741718,0.0001321777,0.00009877443,0.00006631221,0.00007296772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001674299,0.00005604879,0.24784,0.0001086841,0.00002453484,0.00005505058,0.6814084,0.0003485674,0.003046501,0.0316324,0.001735991,0.0335764],"study_design_scores_gemma":[0.0004105924,0.0001618457,0.7137452,0.00007195813,0.000005146522,0.00000659688,0.2238232,0.0005463376,0.00006171609,0.0002659571,0.06075419,0.0001473431],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964429,0.000195757,0.000306928,0.001959268,0.0001724915,0.0006872279,0.00002597024,0.00003363306,0.0001757884],"genre_scores_gemma":[0.9976479,0.00001162154,0.001532248,0.0003635577,0.00004627126,0.0001931552,0.000009539326,0.000009099614,0.000186549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4659052,"threshold_uncertainty_score":0.3600654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02717730676929905,"score_gpt":0.3547115347763825,"score_spread":0.3275342280070834,"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."}}