{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009019107,0.001030107,0.0009470364,0.002672128,0.002262695,0.005187714,0.001555697,0.001403107,0.707542],"category_scores_gemma":[0.007715182,0.0004958258,0.0008484057,0.002937095,0.0006376824,0.003708736,0.002505578,0.002835359,0.5959179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001967808,"about_ca_system_score_gemma":0.002015639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003732924,"about_ca_topic_score_gemma":0.004565871,"domain_scores_codex":[0.9991106,0.0001084218,0.00006874203,0.0001739438,0.0004582367,0.00008003799],"domain_scores_gemma":[0.9967073,0.0005344187,0.0001319046,0.0003728877,0.001831101,0.00042249],"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":[0.0000164777,0.00001322662,0.00006148338,0.00008974832,0.000001679525,0.00003369339,0.00005103387,0.00003897956,0.00006402351,0.002379303,0.9723712,0.02487927],"study_design_scores_gemma":[0.000003263912,0.00000754312,0.0001986615,0.00009804781,0.00000118319,0.00004815772,0.00006812657,0.00002004951,0.00004173001,0.001284007,0.9982255,0.000003675536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0008664978,0.005468689,0.004004117,0.01495701,0.04827085,0.0003834392,0.01808741,0.002365111,0.905597],"genre_scores_gemma":[0.00312327,0.00277487,0.001627655,0.003444636,0.006616166,0.0001819224,0.01276739,0.001304821,0.9681591],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.707542,"threshold_uncertainty_score":0,"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."}}