{"id":"W4391420463","doi":"10.3138/9781487539528-001","title":"Acknowledgments","year":2020,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto; Federation for the Humanities and Social Sciences","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"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":[0.004375792,0.0007776135,0.000802199,0.001815226,0.004206085,0.003879498,0.001907834,0.00114427,0.1838687],"category_scores_gemma":[0.01688362,0.0002741461,0.0004180785,0.001591377,0.001058931,0.002241014,0.004100338,0.0030037,0.1227298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004021319,"about_ca_system_score_gemma":0.006148806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01070286,"about_ca_topic_score_gemma":0.02113768,"domain_scores_codex":[0.9942773,0.001391071,0.0002049617,0.0006871821,0.003006229,0.0004333922],"domain_scores_gemma":[0.978494,0.001524008,0.0006746111,0.001009316,0.01462616,0.003671836],"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":[0.0000408668,0.00001866769,0.0009728447,0.0001215032,0.000004401072,0.0002785328,0.003962057,0.00006121053,0.0005636351,0.01028912,0.9474689,0.03621834],"study_design_scores_gemma":[0.000002923051,0.000005323401,0.0005156157,0.0001008996,0.000002221983,0.0002114841,0.002356237,0.00002589866,0.0001113352,0.0008546185,0.9958072,0.000006192486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01526023,0.009099603,0.01885161,0.1692345,0.06065566,0.0016889,0.02558397,0.002661261,0.6969643],"genre_scores_gemma":[0.04303618,0.003537439,0.01385362,0.02398127,0.004703191,0.000998831,0.008077263,0.001778641,0.9000337],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1838687,"threshold_uncertainty_score":0.6151021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712190739958942,"score_gpt":0.2343665137672562,"score_spread":0.2072446063676668,"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."}}