{"id":"W2137215111","doi":"10.1007/s11295-010-0341-7","title":"Developing seed zones and transfer guidelines with multivariate regression trees","year":2010,"lang":"en","type":"article","venue":"Tree Genetics & Genomes","topic":"Forest ecology and management","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta-Pacific Forest Industries","keywords":"Categorical variable; Multivariate statistics; Biology; Regression; Ecology; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001348911,0.0001559928,0.0001298029,0.00003447128,0.0001597747,0.00002183362,0.0001571348,0.00007335582,0.0002806511],"category_scores_gemma":[0.000008883309,0.0001080451,0.00001894605,0.00009044945,0.0002115183,0.0000565847,0.0001278866,0.0000914265,0.00006415256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001628406,"about_ca_system_score_gemma":0.0000111318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007870551,"about_ca_topic_score_gemma":0.009322438,"domain_scores_codex":[0.9991609,0.00001912108,0.000169987,0.0002890039,0.0001300645,0.000230938],"domain_scores_gemma":[0.9996653,0.00002260103,0.00002883707,0.0002022877,0.00001238065,0.00006862191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001941672,0.0001519988,0.6836218,0.00004403732,0.0001442775,0.00005810143,0.002975749,0.003610897,0.1100432,0.01264031,0.001018907,0.1854965],"study_design_scores_gemma":[0.0006296144,0.0001140781,0.9648718,0.00001133005,0.00003831143,0.00001049793,0.0001026153,0.0009116598,0.003256933,0.003771545,0.0260277,0.000253892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864982,0.000263671,0.01019457,0.001229094,0.0001332809,0.0002204044,0.000002050461,0.00004102733,0.001417734],"genre_scores_gemma":[0.926489,0.0003082173,0.07169942,0.0002763172,0.00004329863,0.00002023183,0.000004930648,0.00001722135,0.001141385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2812501,"threshold_uncertainty_score":0.520214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02055107268868821,"score_gpt":0.2589311757996346,"score_spread":0.2383801031109464,"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."}}