{"id":"W4235025029","doi":"10.3998/mpub.8057139","title":"Uncle Tom's Cabins","year":2017,"lang":"en","type":"book","venue":"University of Michigan Press eBooks","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Oppression; Elite; History; German; Literature; Art history; Art; Media studies; Sociology; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001555798,0.0004014336,0.0001740639,0.0006070599,0.008085829,0.004138049,0.0003965757,0.0008932307,0.03153878],"category_scores_gemma":[0.0005960878,0.0001755168,0.0001248485,0.0007652642,0.00258289,0.002045609,0.001566872,0.00215909,0.003664051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004338891,"about_ca_system_score_gemma":0.002750214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06115492,"about_ca_topic_score_gemma":0.2259419,"domain_scores_codex":[0.9998149,0.00003452319,0.0000025928,0.0000362849,0.00005803162,0.00005357229],"domain_scores_gemma":[0.9998583,0.00003856999,0.00001015992,0.00001216979,0.00004185331,0.00003896837],"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":[0.0000263577,0.00002158264,0.0003575963,0.00008854403,0.000002405573,0.0004625142,0.02035276,0.00008375821,0.0004099341,0.2220492,0.712117,0.04402837],"study_design_scores_gemma":[5.833573e-7,0.000002774774,0.0002501758,0.00006164767,7.593184e-7,0.00007558354,0.003219036,0.00002015358,0.00007564794,0.001196953,0.9950945,0.000002193528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007386399,0.007992617,0.0003783759,0.007357135,0.001544385,0.00001196917,0.00005647688,0.00007388551,0.9751987],"genre_scores_gemma":[0.05380302,0.002268262,0.0002084688,0.00122946,0.0001298106,0.00001456597,0.00004074335,0.00006961081,0.9422361],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06115492,"threshold_uncertainty_score":0.1215979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236210296447826,"score_gpt":0.2367080913942814,"score_spread":0.2130870617494988,"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."}}