{"id":"W4385745552","doi":"10.59962/9780774814782-003","title":"Acknowledgments","year":2009,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003190585,0.0006357,0.0009318796,0.00126398,0.001961322,0.002325819,0.001599087,0.0008619949,0.3963006],"category_scores_gemma":[0.01046501,0.0002397337,0.0005010078,0.001150132,0.0004782314,0.001684296,0.002465096,0.002105452,0.2117594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002338114,"about_ca_system_score_gemma":0.003725135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006987978,"about_ca_topic_score_gemma":0.01539898,"domain_scores_codex":[0.9980838,0.0003706181,0.00008019169,0.0002882919,0.001031819,0.0001453062],"domain_scores_gemma":[0.9905438,0.0008219013,0.0001733601,0.000521871,0.006110319,0.001828891],"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":[0.00005824191,0.00002033179,0.0004065082,0.0001218464,0.000004008881,0.00009648992,0.0003990475,0.00009169977,0.0009079369,0.01118097,0.9471754,0.03953756],"study_design_scores_gemma":[0.000008824162,0.000006381235,0.0003661768,0.00007152594,0.000004235002,0.00008214414,0.0002571487,0.00005404001,0.0002604217,0.001224225,0.9976594,0.000005418541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006569839,0.00495975,0.0296807,0.07867894,0.08675338,0.001595573,0.05349193,0.00397724,0.7342927],"genre_scores_gemma":[0.0212447,0.001712537,0.01393599,0.01366531,0.002989746,0.0007374448,0.01430384,0.002566619,0.9288437],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6036993,"threshold_uncertainty_score":0.8611039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677042752567662,"score_gpt":0.2084374360435865,"score_spread":0.1916670085179099,"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."}}