{"id":"W4385974660","doi":"10.1093/oso/9780198838944.002.0006","title":"Preface","year":2019,"lang":"ca","type":"book-chapter","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Evolutionary biology; Genealogy; Biology; Population genetics; Genetics; History; Sociology; Demography","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004612221,0.0007245236,0.0006220504,0.00015858,0.0001227297,0.0001235807,0.0009459795,0.001853492,0.004436009],"category_scores_gemma":[0.0001721507,0.0006149832,0.000509958,0.00003875576,0.0006176175,0.000004422659,0.001029801,0.0006484446,0.007749929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005381121,"about_ca_system_score_gemma":0.0007821632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002154729,"about_ca_topic_score_gemma":0.00004168566,"domain_scores_codex":[0.9963737,0.00003542121,0.0008504544,0.0008768736,0.0009620305,0.000901554],"domain_scores_gemma":[0.9972772,0.00004404372,0.0002744973,0.00140756,0.0004157587,0.0005809252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001197593,0.0006097041,0.000621169,0.005217398,0.003778569,0.00008616062,0.0003491892,0.00004036969,0.1660071,0.07254894,0.3399625,0.4095814],"study_design_scores_gemma":[0.0007592485,0.001322726,0.00007139613,0.00013223,0.00007536937,0.00002142309,0.00006684515,0.0001966764,0.01809718,0.000428609,0.9779899,0.0008384706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001033009,0.002627408,0.001316882,0.0008352249,0.001182438,0.0009938065,0.0002549086,0.00002482522,0.9917315],"genre_scores_gemma":[0.04226031,0.01723631,0.001286883,0.001157315,0.001013219,0.000007319955,0.001087703,0.0001091984,0.9358417],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6380274,"threshold_uncertainty_score":0.9996302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01983106452814161,"score_gpt":0.273769198037785,"score_spread":0.2539381335096434,"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."}}