{"id":"W2131732405","doi":"10.3732/ajb.92.5.833","title":"Microsatellite analysis reveals genetically distinct populations of red pine (<i>Pinus resinosa</i>, Pinaceae)","year":2005,"lang":"en","type":"article","venue":"American Journal of Botany","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University; Canada Foundation for Innovation","keywords":"Biology; Selfing; Pinaceae; Inbreeding; Microsatellite; Population; Polyploid; Mating system; Genetic variation; Ecology; Evolutionary biology; Allele; Mating; Genetics; Botany; Pinus <genus>; Ploidy; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002126707,0.0001381426,0.0003915183,0.0001499153,0.00006501142,0.00001640005,0.0002439122,0.00006475153,0.00007866052],"category_scores_gemma":[0.00008612293,0.0001291551,0.0003156092,0.0005038132,0.0002073546,0.000006472133,0.00005651615,0.0001007296,0.000002460089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001758687,"about_ca_system_score_gemma":0.00005509993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002465207,"about_ca_topic_score_gemma":0.00005834921,"domain_scores_codex":[0.9986834,0.0001180621,0.0005982055,0.0001797108,0.0002395788,0.000181027],"domain_scores_gemma":[0.9984682,0.00001377925,0.0007415151,0.0003038317,0.0003325421,0.0001401254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003888374,0.00009984587,0.2763404,0.000008980047,0.0008129493,0.000008838289,0.0001296127,0.003267927,0.6937354,0.00006036675,0.001776236,0.02337064],"study_design_scores_gemma":[0.0005269937,0.0006975353,0.9599686,0.00001559506,0.0006851205,0.00007781719,0.0001331737,0.00005476721,0.01857201,0.0001112305,0.01894007,0.0002171209],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919302,0.0009001597,0.006126224,0.000623574,0.00007064516,0.00005599617,0.00004661169,0.000002859308,0.0002436998],"genre_scores_gemma":[0.9703598,0.0001785048,0.02874945,0.0002012635,0.0002165105,3.454211e-7,0.00002516452,0.0000102893,0.0002586489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6836282,"threshold_uncertainty_score":0.5266793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106511541004325,"score_gpt":0.2555750769800946,"score_spread":0.2449239228796621,"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."}}