{"id":"W7002709977","doi":"","title":"President's Note","year":2009,"lang":"en","type":"article","venue":"WBI Studies Repository","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cruelty; Corollary; Altruism (biology); Enforcement; Politics; Law enforcement","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":[],"consensus_categories":[],"category_scores_codex":[0.00008752994,0.0001372242,0.0001487947,0.00001187985,0.0002515364,0.00002048541,0.0001417693,0.0001114526,0.000001331658],"category_scores_gemma":[0.00005695345,0.0001274478,0.0001244944,0.00003508977,0.0001184653,0.000002256898,0.00008374512,0.0000685475,0.000007908941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002247464,"about_ca_system_score_gemma":0.00003450678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005390835,"about_ca_topic_score_gemma":0.000006564986,"domain_scores_codex":[0.9991107,0.00004006999,0.0001800137,0.0003240868,0.0001328329,0.0002123232],"domain_scores_gemma":[0.9993793,0.000008690177,0.00006348002,0.0003844428,0.000108224,0.00005581008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004728821,0.00008846354,0.0027698,0.00002366391,0.0002368264,0.00002224649,0.00144449,0.00007096522,0.8876857,0.00006355326,0.1040268,0.003520271],"study_design_scores_gemma":[0.000769598,0.0008864683,0.05984718,0.00003108874,0.0000950903,0.0000506176,0.001642004,0.00002499108,0.7195991,0.000378869,0.2161077,0.0005673666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373707,0.03226713,0.0002235652,0.0004472064,0.001029501,0.0001903659,0.000002620766,0.00004257144,0.02842636],"genre_scores_gemma":[0.9816341,0.00257136,0.000663063,0.00068466,0.001064988,0.000009526389,0.000007028209,0.00001192209,0.01335333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1680866,"threshold_uncertainty_score":0.5197172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008848270179940786,"score_gpt":0.2788956988448152,"score_spread":0.2700474286648744,"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."}}