{"id":"W2898419606","doi":"10.1038/s41437-018-0151-5","title":"Genetic patterns in Neotropical Magnolias (Magnoliaceae) using de novo developed microsatellite markers","year":2018,"lang":"en","type":"article","venue":"Heredity","topic":"Cocoa and Sweet Potato Agronomy","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Bijzonder Onderzoeksfonds UGent; Vlaamse regering; Ministerio de Ciencia, Tecnología y Medio Ambiente; Universiteit Gent; Fonds Wetenschappelijk Onderzoek","keywords":"Biology; Magnoliaceae; Microsatellite; Evolutionary biology; Genetics; Genetic marker; Allele; Ecology; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001287132,0.0001478763,0.0001704897,0.00001394335,0.0001261937,0.00006021055,0.0002197527,0.0001188731,0.00108426],"category_scores_gemma":[0.00002631202,0.00006824897,0.00006092348,0.0002263665,0.00009838343,0.00007071487,0.000095484,0.0001339184,0.00009102362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009269448,"about_ca_system_score_gemma":0.0000320662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001762125,"about_ca_topic_score_gemma":0.008837228,"domain_scores_codex":[0.9987842,0.00009546247,0.0002308254,0.0003059256,0.0001177313,0.0004658224],"domain_scores_gemma":[0.9996158,0.00007503568,0.00006313261,0.00006785297,0.00004751828,0.0001305917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004552509,0.00006414434,0.9180201,0.000007811602,0.000005912458,0.00004959435,0.000325421,0.000001511305,0.04251781,0.000007431449,0.0002305246,0.03872422],"study_design_scores_gemma":[0.0001673655,0.00008245202,0.9795119,0.00002392408,0.000005717502,0.00004036056,0.0001682599,0.000225009,0.002304019,0.0000891189,0.01719609,0.0001858152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998682,0.00005214156,0.00004027187,0.0002366256,0.0002367508,0.0001622574,0.000008519285,0.00003994802,0.0005414882],"genre_scores_gemma":[0.9974785,0.00002379019,0.001324535,0.0002509335,0.0008126755,0.000007798101,0.00000801202,0.000001332105,0.00009243303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06149177,"threshold_uncertainty_score":0.9998289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03221462568905954,"score_gpt":0.246626870155074,"score_spread":0.2144122444660145,"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."}}