{"id":"W2122430231","doi":"10.1017/s0147547900212787","title":"Ninety-Second Annual Meeting of the Organization of American Historians","year":2000,"lang":"en","type":"article","venue":"International Labor and Working-Class History","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Downtown; Theme (computing); State (computer science); Session (web analytics); History; Power (physics); Media studies; Library science; Political science; Sociology; Archaeology; Advertising","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002415593,0.0006605208,0.0004133071,0.003465534,0.003039381,0.004178284,0.000642522,0.001592107,0.06177386],"category_scores_gemma":[0.002912663,0.0003562121,0.0002913831,0.00257128,0.0008831401,0.001975249,0.001772204,0.002230481,0.01800057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002903325,"about_ca_system_score_gemma":0.008119419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01980905,"about_ca_topic_score_gemma":0.05947978,"domain_scores_codex":[0.9990645,0.0001643123,0.00007602365,0.0001307227,0.0003480203,0.0002165097],"domain_scores_gemma":[0.9970656,0.000133028,0.000222377,0.0001405994,0.001258079,0.001180231],"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":[0.00003739391,0.00002799328,0.001948111,0.0001045571,0.00000530103,0.0000678849,0.0004724313,0.00003092546,0.0003561133,0.003062551,0.906106,0.08778078],"study_design_scores_gemma":[9.614764e-7,0.000002222923,0.0009707708,0.00005518542,9.96634e-7,0.00001976218,0.0001733555,0.000008209843,0.00002887124,0.0001593658,0.998578,0.000002422577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009798192,0.1233081,0.003737636,0.1519149,0.1444864,0.0006109011,0.00579405,0.000524918,0.5598248],"genre_scores_gemma":[0.022461,0.0357562,0.002927379,0.00972918,0.01811585,0.0002089741,0.002587261,0.0002419661,0.9079722],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06177386,"threshold_uncertainty_score":0.2066542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006416369417869996,"score_gpt":0.2253614944548764,"score_spread":0.2189451250370064,"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."}}