{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002220857,0.0001072109,0.0001801245,0.000006190497,0.0001335985,0.00004702756,0.0001242521,0.00005138733,0.00005563721],"category_scores_gemma":[0.000101709,0.00004156735,0.00004506582,0.0001151608,0.00001998048,0.00005396142,0.00005319858,0.00007342131,0.00003343057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001840838,"about_ca_system_score_gemma":0.00000106393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008461,"about_ca_topic_score_gemma":0.01203746,"domain_scores_codex":[0.9991095,0.00006043148,0.0002059291,0.0002079923,0.0001801296,0.0002359865],"domain_scores_gemma":[0.9996917,0.000164959,0.00005449505,0.00002079027,0.00001928459,0.00004880233],"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":[0.0003045762,0.0001306057,0.3735453,0.0000170785,0.00001446917,0.00002276632,0.0002115541,0.00001505057,0.530452,0.0008256303,0.0001844051,0.09427655],"study_design_scores_gemma":[0.0003789958,0.00009330834,0.9968967,0.0000316788,0.000005305574,0.000005634764,0.0001711495,0.0005514065,0.0002407364,0.0005882775,0.0008859879,0.0001507525],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997116,0.0003384775,0.00001192029,0.0002779608,0.00003765094,0.0001231856,0.00001701467,0.00004688082,0.002030891],"genre_scores_gemma":[0.9993022,0.00004568814,0.00008934206,0.0000898242,0.0001846891,0.00001396225,0.000006465737,7.862699e-7,0.0002670268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6233515,"threshold_uncertainty_score":0.6717186,"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."}}