{"id":"W1780711946","doi":"10.1139/cjb-2014-0024","title":"Distance-dependent but genetically random mating in a Japanese beech (<i>Fagus crenata</i>) population","year":2014,"lang":"en","type":"article","venue":"Botany","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Inbreeding depression; Inbreeding; Biological dispersal; Population; Mating; Pollen; Seed dispersal; Inbreeding avoidance; Pollination; Fagus crenata; Mating system; Ecology; Beech; Botany; Mate choice; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003358866,0.0002825322,0.0002032651,0.0008065381,0.0005492648,0.0002851284,0.0004043369,0.0002306261,0.0003106727],"category_scores_gemma":[0.0004086377,0.0001708868,0.0001979308,0.0002968691,0.0004686871,0.0001482115,0.0003210271,0.0002008444,0.00005354507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004300382,"about_ca_system_score_gemma":0.0003194788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01545922,"about_ca_topic_score_gemma":0.04314497,"domain_scores_codex":[0.9997951,0.00003352747,0.0000168191,0.00009635615,0.00003073179,0.00002749116],"domain_scores_gemma":[0.9997656,0.00004012204,0.00007988662,0.00003181103,0.00004049882,0.00004208814],"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":[0.0004907381,0.0002226937,0.4386533,0.00007616262,0.0002969118,0.001074233,0.00258676,0.000830779,0.5376791,0.000408683,0.000117437,0.01756313],"study_design_scores_gemma":[0.00002661087,0.0002413726,0.9932874,0.000006846783,0.00008857113,0.0006959719,0.0003691406,0.001310778,0.003589129,0.00007058712,0.0002888516,0.0000247386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998218,0.00001202393,0.0001040422,0.000001987694,4.292841e-7,0.000002818469,0.000009050722,0.000001557133,0.00004622165],"genre_scores_gemma":[0.9992901,0.00001760749,0.0005236496,0.000009992875,0.000001166777,0.000007077486,0.00007597276,0.000001791788,0.00007258177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01545922,"threshold_uncertainty_score":0.03073847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01954048588108406,"score_gpt":0.2053643064931457,"score_spread":0.1858238206120616,"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."}}