{"id":"W6991240322","doi":"","title":"French Families, Paper Facts: Genetics, Writing, and Intimate Histories.","year":2009,"lang":"en","type":"dissertation","venue":"Deep Blue (University of Michigan)","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feeling; Colonialism; Scope (computer science); Historiography; Immigration","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005564012,0.0004733801,0.0002912237,0.004191278,0.01095183,0.00879024,0.0007068692,0.001721178,0.02020509],"category_scores_gemma":[0.018503,0.000299879,0.0001556574,0.004295014,0.01320237,0.004731281,0.002408166,0.001313811,0.002257304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01260649,"about_ca_system_score_gemma":0.006925164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1233979,"about_ca_topic_score_gemma":0.1574961,"domain_scores_codex":[0.9947761,0.00334954,0.0001534814,0.0004326683,0.0009245987,0.0003635302],"domain_scores_gemma":[0.9908627,0.005480597,0.001154813,0.0006157086,0.001186938,0.0006991646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003287633,0.00003102746,0.009490108,0.0001904711,0.0000170203,0.001565489,0.2686352,0.000102962,0.0001789006,0.4774883,0.1351897,0.1070778],"study_design_scores_gemma":[0.00000458282,0.00001106735,0.006425591,0.000280884,0.000005305194,0.0008899653,0.05211708,0.00004064037,0.00008891568,0.01711527,0.923007,0.00001371293],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08534252,0.1035576,0.005315501,0.1839028,0.002611229,0.00008309934,0.001618006,0.0003439107,0.6172253],"genre_scores_gemma":[0.8139626,0.02446762,0.002891181,0.009935337,0.0009968787,0.00007023162,0.0004213961,0.0001660251,0.1470886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1233979,"threshold_uncertainty_score":0.2453594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003551551137596325,"score_gpt":0.1886528726050669,"score_spread":0.1851013214674706,"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."}}