{"id":"W4405669609","doi":"10.1101/2024.12.18.629080","title":"A tale of two shrimps – Speciation and demography of two sympatric shrimp species from hydrothermal vents","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; WSP (Canada)","funders":"National Oceanic and Atmospheric Administration; Agence Nationale de la Recherche; Japan Agency for Marine-Earth Science and Technology; ISblue","keywords":"Sympatric speciation; Shrimp; Hydrothermal vent; Genetic algorithm; Biology; Fishery; Crustacean; Ecology; Decapoda; Zoology; Geography; Hydrothermal circulation; Paleontology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002215414,0.0001700732,0.0002359628,0.0009595836,0.0007173035,0.0003899931,0.0003132555,0.0003893512,0.001044208],"category_scores_gemma":[0.0003587539,0.0001285438,0.0002958271,0.0004748826,0.0003661989,0.0003151087,0.0005940719,0.0002785497,0.0001638406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002847587,"about_ca_system_score_gemma":0.0001022688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002370928,"about_ca_topic_score_gemma":0.007316972,"domain_scores_codex":[0.9998935,0.00001485088,0.000008080361,0.00004999097,0.00001230241,0.00002123719],"domain_scores_gemma":[0.9997991,0.0000267017,0.00006116919,0.00002557178,0.00003290999,0.00005457727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002167536,0.0000601976,0.864637,0.00004761868,0.00009578976,0.0007382229,0.003549573,0.0002227261,0.1204934,0.0001218797,0.00008353504,0.009733169],"study_design_scores_gemma":[0.000002373327,0.00005496797,0.9971943,0.000005966042,0.0000160297,0.0003431143,0.00102005,0.0002474367,0.00078782,0.00003774159,0.0002831975,0.000006968481],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997324,0.0000321561,0.00006783545,0.000005761192,9.552739e-7,0.000001512564,0.00002499876,0.000002105389,0.00013221],"genre_scores_gemma":[0.9996098,0.00001711659,0.0001611345,0.00001032052,0.000001264289,0.000003347435,0.00008405957,0.000001223422,0.0001116254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002370928,"threshold_uncertainty_score":0.00471431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082256971587197,"score_gpt":0.2227279117159532,"score_spread":0.2119053420000812,"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."}}