{"id":"W2345803157","doi":"10.1016/j.crvi.2016.03.004","title":"Genetic and morphological heterogeneity among populations of Eurytemora affinis (Crustacea: Copepoda: Temoridae) in European waters","year":2016,"lang":"en","type":"article","venue":"Comptes Rendus Biologies","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"Russian Academy of Sciences; Russian Foundation for Basic Research","keywords":"Biology; Species complex; Subspecies; Zoology; Evolutionary biology; Systematics; Ecology; Taxonomy (biology); Gene; Genetics; Phylogenetic tree","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":[0.0004035794,0.000136425,0.0002583688,0.0001106844,0.0001216571,0.00001689558,0.0002668645,0.0001282242,0.0008405835],"category_scores_gemma":[0.0002177319,0.00007536576,0.00003839038,0.0001164152,0.001040599,0.00006557957,0.0001301254,0.0001305587,0.0001389519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004695111,"about_ca_system_score_gemma":0.00001569823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004828785,"about_ca_topic_score_gemma":0.001157785,"domain_scores_codex":[0.9985086,0.0004673142,0.0002913681,0.000324517,0.0000627558,0.0003454532],"domain_scores_gemma":[0.9992988,0.0003240812,0.00008295232,0.0001953187,0.00002669869,0.00007221482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004479521,0.00001462874,0.9852721,0.000006972635,0.00001068788,0.00005178196,0.00001769553,0.00006020618,0.0004974234,0.00000542308,0.0002749523,0.01374333],"study_design_scores_gemma":[0.0002688073,0.0002521096,0.9985187,0.00001234814,0.000004126302,0.00002650227,0.00004826215,0.0001191884,0.0002916054,0.0001405041,0.0002042713,0.0001135716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978784,0.0007940665,0.00000700703,0.0002521075,0.0001499275,0.0001383268,0.00004742512,0.0000412494,0.0006915421],"genre_scores_gemma":[0.9988813,0.0005107268,0.0004207428,0.00002591536,0.0000299896,0.000001817078,0.00003537115,0.000002606301,0.00009157244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01362976,"threshold_uncertainty_score":0.92038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05746416889917733,"score_gpt":0.2601906947534959,"score_spread":0.2027265258543186,"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."}}