{"id":"W3170801644","doi":"10.21810/jicw.v4i1.2907","title":"Technology and Racism","year":2021,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Racism; Presentation (obstetrics); Sociology; Political science; Gender studies; Medicine","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":[0.003114532,0.0004810429,0.0002934282,0.001001738,0.01907976,0.009036264,0.0004345588,0.00638481,0.01337234],"category_scores_gemma":[0.006391469,0.0002566861,0.0004127051,0.0006466417,0.0101413,0.004745263,0.006384427,0.008076269,0.000715779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006777666,"about_ca_system_score_gemma":0.00339919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01100958,"about_ca_topic_score_gemma":0.01444555,"domain_scores_codex":[0.9923416,0.005075598,0.0001191582,0.00028823,0.0009683325,0.001207107],"domain_scores_gemma":[0.9968655,0.001729372,0.000279813,0.0001048533,0.0003927553,0.0006276555],"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":[0.0001160282,0.0002066177,0.005063533,0.0002456697,0.00002679891,0.001765111,0.2036128,0.0001979036,0.001163409,0.3903465,0.2985573,0.09869836],"study_design_scores_gemma":[0.00001000783,0.0001102837,0.002815546,0.0004786076,0.000007250645,0.0005806659,0.08587909,0.0001220244,0.0003448233,0.01600381,0.8936092,0.00003868285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09166647,0.01930737,0.001672755,0.5777368,0.007543887,0.00008915145,0.00005441259,0.00003252308,0.3018966],"genre_scores_gemma":[0.8153985,0.01075844,0.0006336068,0.06625441,0.001878895,0.000127846,0.00003438498,0.00003869691,0.1048753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01907976,"threshold_uncertainty_score":0.04917556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.114747680693856,"score_gpt":0.3886432924351974,"score_spread":0.2738956117413414,"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."}}