{"id":"W4409361582","doi":"10.3390/d17040269","title":"New Insight into the Demography History, Evolution, and Phylogeography of Horseshoe Crabs with Special Emphasis on American Species","year":2025,"lang":"en","type":"article","venue":"Diversity","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Universidad Juárez Autónoma de Tabasco; Secretaría de Ciencia, Tecnología e Innovación del Distrito Federal; Rufford Foundation","keywords":"Phylogeography; Biology; Horseshoe crab; Geography; Ecology; Zoology; Fishery; Phylogenetics","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":[0.00007347629,0.0001121134,0.0001567507,0.0002469883,0.0004802831,0.00001616533,0.0002603217,0.00003170771,0.0008760585],"category_scores_gemma":[0.000008498095,0.0000798734,0.00007996391,0.0004875093,0.0007854241,0.000108035,0.00006649619,0.00009675142,0.00001302271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001659994,"about_ca_system_score_gemma":0.00005444351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01733619,"about_ca_topic_score_gemma":0.01067185,"domain_scores_codex":[0.9993293,0.00005186062,0.00007551064,0.0002145207,0.0001910378,0.0001377267],"domain_scores_gemma":[0.9995638,0.00008868612,0.0000763671,0.000158588,0.00003787885,0.00007467321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000239658,0.00001479235,0.9712327,0.000005592559,0.00007649366,0.000004010807,0.001722738,0.00001139083,9.309701e-7,0.0002495628,0.01135974,0.01508241],"study_design_scores_gemma":[0.0002788559,0.0001747027,0.8639821,0.000007968404,0.00005616808,5.069032e-7,0.001104691,0.000006104578,0.00001508686,0.0001416181,0.1341468,0.00008546638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440488,0.0005010169,0.0002263686,0.0003902982,0.0002971928,0.0001234551,0.0000405527,0.00001956404,0.05435281],"genre_scores_gemma":[0.9988931,0.00008007959,0.0003640125,0.0003211903,0.00009243425,9.43776e-8,0.00001238343,6.461576e-7,0.0002360967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.122787,"threshold_uncertainty_score":0.9892074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496891233720308,"score_gpt":0.1620565101761054,"score_spread":0.1470875978389023,"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."}}