{"id":"W4251246793","doi":"10.1017/s0021875804008461","title":"Martin Luther King, Jr.","year":2004,"lang":"en","type":"article","venue":"Journal of American Studies","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Illinois at Urbana-Champaign; University of Cambridge; University of Oxford; York University; Harvard University","keywords":"Memphis; Boycott; Context (archaeology); State (computer science); Law; Civil rights; Martin luther king; Narrative; Political science; Sociology; Politics; History; Art","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004793507,0.000606182,0.0002644745,0.0009657545,0.001760057,0.003004862,0.0004271955,0.002104876,0.09412711],"category_scores_gemma":[0.001652116,0.0002893321,0.0001776767,0.0006767455,0.0009524762,0.002011788,0.00154825,0.003012647,0.06870915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002178908,"about_ca_system_score_gemma":0.002221173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008481706,"about_ca_topic_score_gemma":0.01826513,"domain_scores_codex":[0.9994382,0.00006861526,0.00001940811,0.0001236045,0.0002831656,0.00006690197],"domain_scores_gemma":[0.9994465,0.0001066149,0.00004749147,0.00003962385,0.000179656,0.0001801419],"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":[0.000003892166,0.000005629628,0.00006479771,0.00003622264,6.585196e-7,0.00003223976,0.00008364968,0.00001885992,0.0000491407,0.006664334,0.961071,0.03196955],"study_design_scores_gemma":[5.133613e-7,0.00000132178,0.00008937262,0.00004515379,3.63174e-7,0.00003062381,0.00003345215,0.000007301873,0.00001860293,0.000351152,0.9994209,0.000001191135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0008036016,0.156444,0.0008549239,0.1823229,0.03622378,0.00003259302,0.0003207622,0.0004272429,0.6225702],"genre_scores_gemma":[0.005274274,0.0331597,0.000267801,0.0111991,0.002717334,0.00002274776,0.00008583882,0.00008404379,0.9471891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09412711,"threshold_uncertainty_score":0.3148866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02827972791130825,"score_gpt":0.3497059567898801,"score_spread":0.3214262288785719,"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."}}