{"id":"W2898174884","doi":"10.1353/cwh.2018.0043","title":"For Their Own Cause: The 27th United States Colored Troops by Kelly D. Mezurek","year":2018,"lang":"en","type":"article","venue":"Civil War history","topic":"Military History and Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Infantry; Artillery; White (mutation); Battle; Context (archaeology); History; Law; Ancient history; State (computer science); Classics; Political science; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009488176,0.0001728254,0.0001946223,0.00007735845,0.001357369,0.00001079815,0.0005111129,0.0001392793,0.001320271],"category_scores_gemma":[0.000170226,0.0001299541,0.0001077326,0.0002150996,0.001862492,0.0001432554,0.00002098772,0.0001584192,0.00007482693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008568412,"about_ca_system_score_gemma":0.0005052862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003324671,"about_ca_topic_score_gemma":0.03788874,"domain_scores_codex":[0.9983853,0.0003807692,0.000226518,0.0003091986,0.0002531652,0.0004450686],"domain_scores_gemma":[0.9988095,0.0003528987,0.0001098003,0.0003376546,0.0002309228,0.0001591951],"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":[0.00007914758,0.00005011295,0.00004055224,0.00001141401,0.00003116772,0.000001591588,0.06702209,0.000004076847,0.0004015559,0.006252615,0.9256379,0.0004677859],"study_design_scores_gemma":[0.000271446,0.0002023905,0.00006774301,0.00000725427,0.00002925917,5.073522e-7,0.00858502,0.0001113479,0.00006745128,0.001557999,0.9889121,0.0001874699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4433863,0.07083111,0.001575392,0.007433441,0.01085162,0.003176721,0.0008720271,0.0009681917,0.4609053],"genre_scores_gemma":[0.8689862,0.001194223,0.000120059,0.003870259,0.001196993,0.0001848682,0.0002574405,0.00005832606,0.1241316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4256,"threshold_uncertainty_score":0.9999427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03288898411571761,"score_gpt":0.2653574792725499,"score_spread":0.2324684951568323,"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."}}