{"id":"W2801657916","doi":"10.1002/ece3.4053","title":"Development of high transferability cp<scp>SSR</scp> markers for individual identification and genetic investigation in Cupressaceae species","year":2018,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities","keywords":"Cupressaceae; Transferability; Identification (biology); Biology; Genetic marker; Genetics; Computational biology; Botany; Gene; 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":[0.000195045,0.00006754591,0.00008831147,0.00005291227,0.0001144196,0.000007583164,0.00004687295,0.000160702,0.000005303152],"category_scores_gemma":[0.00008056018,0.00007358691,0.00001370607,0.00004969602,0.0002104908,0.000006964765,0.00002950105,0.00003124076,6.439035e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001275952,"about_ca_system_score_gemma":0.00004678587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001146148,"about_ca_topic_score_gemma":0.0005970317,"domain_scores_codex":[0.9994054,0.00005129602,0.0001887777,0.0002039491,0.00004801727,0.0001025335],"domain_scores_gemma":[0.9997468,0.00002001243,0.00006311739,0.00007477569,0.00006501285,0.0000303026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006858471,0.00002521217,0.7585319,0.00006625296,0.00003889074,9.084663e-8,0.001356282,0.00004743492,0.237881,0.0004831531,0.0003369963,0.001164257],"study_design_scores_gemma":[0.0004618453,0.0001038566,0.9504829,0.000004008122,0.00001859671,0.000002216152,0.000256408,0.00004216117,0.04597362,0.001796865,0.0008209183,0.00003657493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954537,0.0001096561,0.003976447,0.00005614242,0.0001251704,0.0002231512,0.00002775633,0.000003146897,0.00002483596],"genre_scores_gemma":[0.9940825,0.00002288907,0.005552719,0.00002454713,0.00004387678,0.00001347685,0.0001591082,0.000003046565,0.00009782613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1919511,"threshold_uncertainty_score":0.3000787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448166458490746,"score_gpt":0.2182894441340164,"score_spread":0.2038077795491089,"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."}}