{"id":"W1964068714","doi":"10.1007/s11295-007-0100-6","title":"Gain and diversity in advanced generation coastal Douglas-fir selections for seed production populations","year":2007,"lang":"en","type":"article","venue":"Tree Genetics & Genomes","topic":"Forest ecology and management","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of British Columbia","funders":"","keywords":"Inbreeding; Selection (genetic algorithm); Genetic gain; Biology; Statistics; Population; Ecology; Mathematics; Demography; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002132811,0.00007258169,0.00006397203,0.00005926529,0.0003442199,0.000008344485,0.00005355756,0.00004138289,0.00003382954],"category_scores_gemma":[0.00001320523,0.00008029203,0.00001698648,0.000152668,0.00006810032,0.00007546489,0.0001453163,0.00004115178,0.00001112981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008882968,"about_ca_system_score_gemma":0.000004108598,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008590993,"about_ca_topic_score_gemma":0.08323938,"domain_scores_codex":[0.9993868,0.00001493758,0.000122294,0.0002211762,0.00007291599,0.0001819137],"domain_scores_gemma":[0.9998049,0.00001165814,0.00003920452,0.00009901352,0.000008259883,0.00003700383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004185387,0.0001035725,0.9099361,0.0000065464,0.00001071858,0.000001203879,0.0007028173,0.06192759,0.01042924,0.001085028,0.0006396088,0.01511576],"study_design_scores_gemma":[0.000336043,0.00008926726,0.9899321,8.558688e-7,0.00001682898,0.000001574913,0.0001128138,0.002673993,0.0009473721,0.003426021,0.002368776,0.00009437929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823834,0.0000924501,0.01577088,0.0002198995,0.0003046974,0.0005029619,0.000004552319,0.00002070221,0.0007004886],"genre_scores_gemma":[0.9873148,0.00006107811,0.01145683,0.0000482771,0.00006972953,0.0000221638,0.00003558136,0.000005851743,0.0009857337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08315346,"threshold_uncertainty_score":0.9334891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0258011936172785,"score_gpt":0.2513167562898653,"score_spread":0.2255155626725868,"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."}}