{"id":"W4361002540","doi":"10.1007/s10342-023-01556-x","title":"Genetic diversity and fine-scale spatial genetic structure of unmanaged old-growth versus managed second-growth populations of Scots pine (Pinus sylvestris L.) in Lithuania","year":2023,"lang":"en","type":"article","venue":"European Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Genetic diversity; Scots pine; Biology; Population; Inbreeding; Genetic structure; Genetic variation; Ecology; Evolutionary biology; Botany; Genetics; Pinus <genus>; Demography","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":[0.0009621092,0.0001470391,0.0002573764,0.0006773697,0.0002530654,0.00003031921,0.0006627188,0.00003614322,0.0007184652],"category_scores_gemma":[0.0002679913,0.0001344088,0.00007954674,0.001266833,0.0004452387,0.0001753525,0.001553956,0.0004233372,0.00006272653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007707228,"about_ca_system_score_gemma":0.00001766068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00185833,"about_ca_topic_score_gemma":0.004182015,"domain_scores_codex":[0.9974077,0.000610469,0.0005335805,0.0002336249,0.0008163913,0.0003982364],"domain_scores_gemma":[0.999111,0.0001173192,0.0002545562,0.0002585552,0.00009059471,0.0001679927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003144979,0.00006265994,0.985862,0.0001357212,0.00004069258,0.000321761,0.001167238,0.003695006,0.001427867,0.0001454566,0.005058372,0.001768721],"study_design_scores_gemma":[0.001682935,0.0006151488,0.9956825,0.00006335567,0.00002523156,0.000009230506,0.00006338621,0.000738932,0.000155674,0.000729583,0.00012454,0.0001094304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965631,0.0000662618,0.00003340222,0.0001689657,0.0001145543,0.0002241651,0.0000220994,0.000008404454,0.002799099],"genre_scores_gemma":[0.9981433,0.0001251673,0.0008564167,0.00001063909,0.00009090672,5.808104e-7,0.00000508507,0.00002295057,0.0007449966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009820548,"threshold_uncertainty_score":0.7866691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04129500362336665,"score_gpt":0.2804844319937635,"score_spread":0.2391894283703968,"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."}}