{"id":"W4410958135","doi":"10.1080/08989575.2025.2488586","title":"<i>Radical Connections: Genealogy, Small Lives, Big Data:</i> The 2017 Hogan Prize","year":2025,"lang":"en","type":"article","venue":"a/b Auto/Biography Studies","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Hogan; Genealogy; History; Archaeology","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":[0.006871785,0.0005783227,0.0006282997,0.001679646,0.003886928,0.01319019,0.0008401073,0.003369237,0.01323777],"category_scores_gemma":[0.01921395,0.0002619682,0.0003633572,0.002837044,0.01116679,0.01481507,0.004031557,0.00842382,0.004712531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003990174,"about_ca_system_score_gemma":0.003586077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006158555,"about_ca_topic_score_gemma":0.009092406,"domain_scores_codex":[0.9974908,0.001171928,0.00008143105,0.0003666942,0.0006783712,0.0002107808],"domain_scores_gemma":[0.9892347,0.006032494,0.0005749256,0.0007253674,0.001587028,0.001845497],"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":[0.00001416492,0.000004053021,0.0002728525,0.00005112236,0.00001046103,0.00002457378,0.0006794392,0.00002719086,0.00004482105,0.06628883,0.9199457,0.0126368],"study_design_scores_gemma":[0.000006393046,0.000005141093,0.0006149173,0.0002552072,0.0000052824,0.00006141249,0.00143387,0.00008981866,0.00009330698,0.1038395,0.8935748,0.00002018933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001121898,0.03636929,0.001986577,0.8857539,0.04929727,0.00001095774,0.0005028038,0.0001089291,0.02484843],"genre_scores_gemma":[0.1312629,0.07764219,0.006568967,0.4198849,0.1795471,0.0001552129,0.001574492,0.001214002,0.1821503],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01323777,"threshold_uncertainty_score":0.04428476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05659117271677692,"score_gpt":0.3017823130590395,"score_spread":0.2451911403422626,"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."}}