{"id":"W7034250114","doi":"","title":"The Target Model for Genealogical Networks","year":2023,"lang":"en","type":"article","venue":"ScholarsArchive  (Brigham Young University)","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Key (lock); Imitation; Scale (ratio); Ancestor; Reciprocal; Geodesic; Complex network","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":[0.0001422673,0.0001085897,0.00007612255,0.00005972647,0.0006322596,0.00005318427,0.0002743156,0.0001062337,0.000003782332],"category_scores_gemma":[0.00004570128,0.00008759459,0.000122738,0.0001827838,0.000101099,0.000009183061,0.0001511513,0.0001514416,0.00001341277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001515167,"about_ca_system_score_gemma":0.00004864025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003418602,"about_ca_topic_score_gemma":0.00002369206,"domain_scores_codex":[0.9992112,0.00005492209,0.00007426586,0.0002841064,0.00008119235,0.0002943238],"domain_scores_gemma":[0.9995449,0.0000279822,0.00003959195,0.0002509503,0.00006256562,0.00007405518],"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":[0.004641647,0.0001299613,0.01531256,0.00004779187,0.0009491408,0.000115275,0.0004918966,0.2197509,0.4250623,0.1483709,0.1597216,0.02540608],"study_design_scores_gemma":[0.001102953,0.0002899412,0.01029842,0.000006090379,0.000052912,0.00001448571,0.0001910767,0.281197,0.001628321,0.006663191,0.6981847,0.0003709286],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4500337,0.0002855315,0.5250788,0.0006046973,0.001301995,0.0008515965,0.0001734182,0.0002215601,0.02144864],"genre_scores_gemma":[0.9658731,0.0004651314,0.003915098,0.0001975274,0.0004666995,0.00000351679,0.0004640919,0.00003504405,0.02857976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5384632,"threshold_uncertainty_score":0.4862894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085969286384442,"score_gpt":0.2107359668111309,"score_spread":0.1998762739472865,"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."}}