{"id":"W4408139094","doi":"10.1093/alh/ajae147","title":"Michele Currie Navakas, <i>Coral Lives: Literature, Labor, and the Making of America</i>","year":2025,"lang":"en","type":"article","venue":"American Literary History","topic":"Race, History, and American Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Coral; History; Art; Visual arts","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":[],"consensus_categories":[],"category_scores_codex":[0.001707557,0.00108864,0.0006079209,0.001604245,0.01073659,0.007810762,0.001361528,0.004910072,0.01145142],"category_scores_gemma":[0.005942914,0.0005138796,0.0002917912,0.001545639,0.003029646,0.005361101,0.002913498,0.008360945,0.00426697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002741684,"about_ca_system_score_gemma":0.004737668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05354388,"about_ca_topic_score_gemma":0.2026988,"domain_scores_codex":[0.9990157,0.0003350346,0.00004266504,0.0001654769,0.0003215795,0.000119568],"domain_scores_gemma":[0.9964647,0.001752297,0.0001789005,0.0001025583,0.00079337,0.0007080532],"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":[0.000005594031,0.000007728228,0.0001596287,0.00005474166,0.000002138198,0.00003160042,0.001867829,0.000007352472,0.00004189331,0.007365583,0.9856828,0.004773153],"study_design_scores_gemma":[0.00000446152,0.00000518304,0.001092823,0.0002986389,0.000004384202,0.00008816629,0.008193756,0.0000214455,0.000115806,0.002457532,0.9877058,0.0000119912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.001540611,0.143808,0.0003195895,0.7564706,0.04733747,0.00003423253,0.0003291306,0.00009873087,0.05006175],"genre_scores_gemma":[0.03466412,0.1549074,0.0009827917,0.3666338,0.04706975,0.0002555856,0.0004182502,0.0005021093,0.3945661],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.05354388,"threshold_uncertainty_score":0.1064644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00571335925072925,"score_gpt":0.2605580365930391,"score_spread":0.2548446773423099,"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."}}