{"id":"W4385720307","doi":"10.1093/aob/mcad092","title":"Causes and consequences of sex ratio variation in plants. A commentary on: ‘Life history characteristics and historical factors are important to explain regional variation in reproductive traits and genetic diversity in perennial mosses’","year":2023,"lang":"en","type":"letter","venue":"Annals of Botany","topic":"Bryophyte Studies and Records","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Biology; Perennial plant; Variation (astronomy); Diversity (politics); Genetic diversity; Annals; Genetic variation; Life history theory; Evolutionary biology; Demography; Life history; Ecology; Anthropology; Sociology; Archaeology; Population; Genetics; Geography","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":[0.0002065952,0.0001628537,0.0004547823,0.00006979582,0.00006322712,0.000006966985,0.00007081407,0.0001875427,0.000007904075],"category_scores_gemma":[0.0001146497,0.00008939776,0.00002844786,0.0001230832,0.0001090053,0.00005387648,0.00009925195,0.0002368243,9.577541e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001252467,"about_ca_system_score_gemma":0.00001894351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008346503,"about_ca_topic_score_gemma":0.004347952,"domain_scores_codex":[0.998706,0.0001335438,0.0004114417,0.0003987796,0.0001923797,0.0001578517],"domain_scores_gemma":[0.9992957,0.0002590022,0.0003218478,0.00003633903,0.00004517863,0.0000419383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004096741,0.0002095141,0.5942546,0.0001665439,0.00009331456,0.0002482026,0.01180527,0.000003137815,0.008593543,0.000006903944,0.3825541,0.001655193],"study_design_scores_gemma":[0.0001270741,0.0002864833,0.9885737,0.0001145901,0.000008508538,0.000002858238,0.0004829011,0.000008493107,0.000009465813,0.000085118,0.01015241,0.0001483724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8875667,0.0006914492,2.122572e-7,0.1110247,0.0002482752,0.0002152028,0.0002460982,0.000004680883,0.000002611232],"genre_scores_gemma":[0.9760728,0.003370451,0.00001497118,0.01965531,0.0007782024,0.0000123952,0.00004221953,0.000002327373,0.00005136387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3943191,"threshold_uncertainty_score":0.998257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0988383936184076,"score_gpt":0.247723360566984,"score_spread":0.1488849669485764,"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."}}