{"id":"W2039341346","doi":"10.1111/j.1541-0420.2006.00706.x","title":"Our Future as History","year":2007,"lang":"en","type":"article","venue":"Biometrics","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Biometric Society","keywords":"Presidential address; Plan (archaeology); Political science; Engineering ethics; Public relations; Computer science; Data science; Management science; History; Public administration; Engineering; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004175421,0.0001253485,0.0001001183,0.0002139034,0.00006067954,0.00001058247,0.0002015746,0.0003037523,0.00001575902],"category_scores_gemma":[0.0001411686,0.0001257997,0.0001250794,0.000529813,0.00003468768,0.000001567236,0.00007327698,0.00008435038,0.00006832407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008666004,"about_ca_system_score_gemma":0.00009794463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001206579,"about_ca_topic_score_gemma":0.000008228788,"domain_scores_codex":[0.999047,0.00001626541,0.0001627078,0.0002900467,0.000199112,0.0002848777],"domain_scores_gemma":[0.9993184,0.000005953063,0.00006695859,0.0003574231,0.0001107041,0.0001405973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005918251,0.0001845141,0.006724842,0.00003051211,0.00008941606,0.00001871772,0.0003104335,0.000002297143,0.5098805,0.0003298755,0.4403559,0.04201379],"study_design_scores_gemma":[0.0002616133,0.000173663,0.007351735,0.000001191476,0.00001021243,0.000009731585,0.0008161709,0.000002115541,0.03935723,0.0000214614,0.9518136,0.0001812358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9337189,0.03524023,0.005854167,0.000506322,0.004490349,0.0001897168,0.00001596972,0.00004682022,0.01993748],"genre_scores_gemma":[0.9769601,0.002118234,0.003174909,0.001249557,0.002854003,0.000002559724,0.00007621187,0.00003101364,0.0135334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5114577,"threshold_uncertainty_score":0.5129961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750500716888091,"score_gpt":0.2715377414540781,"score_spread":0.2540327342851971,"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."}}