{"id":"W3186298302","doi":"10.1111/jpy.13202","title":"Type specimen sequencing, multilocus analyses, and species delimitation methods recognize the cosmopolitan <i>Corallina berteroi</i> and establish the northern Japanese <i>C. yendoi</i> sp. nov. (Corallinaceae, Rhodophyta)","year":2021,"lang":"en","type":"article","venue":"Journal of Phycology","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Holotype; Temperate climate; Mediterranean climate; Type locality; Taxonomy (biology); Zoology; Evolutionary biology; Botany; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001027812,0.0001906094,0.0004198575,0.00008191144,0.0002258136,0.0001085928,0.000259835,0.000112002,0.0006935996],"category_scores_gemma":[0.0003735861,0.0001047916,0.00008734401,0.0003174911,0.0003059126,0.0002112139,0.00006548337,0.0004193827,0.00001104544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001506347,"about_ca_system_score_gemma":0.0001597964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001628018,"about_ca_topic_score_gemma":0.02040719,"domain_scores_codex":[0.9980022,0.0007874268,0.0004868941,0.0002382934,0.0001746376,0.0003105527],"domain_scores_gemma":[0.9974002,0.001481564,0.0004174309,0.0001931145,0.0003834196,0.0001242755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001454392,0.0001406017,0.3772018,0.0000955864,0.000839993,0.001112795,0.003295356,0.0008624657,0.03644723,0.0002664996,0.01522403,0.5630592],"study_design_scores_gemma":[0.002921591,0.003325173,0.6560063,0.00007792865,0.000942212,0.01001093,0.01662365,0.004256572,0.002765635,0.01523346,0.2869272,0.0009093787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725969,0.00711979,0.0002375875,0.002802745,0.001067372,0.0001759197,0.00004511637,0.00001094145,0.01594364],"genre_scores_gemma":[0.980938,0.004895957,0.007308251,0.002510778,0.00082702,0.000001094337,0.00006456464,0.00001095365,0.003443365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5621499,"threshold_uncertainty_score":0.9974678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07769197025800159,"score_gpt":0.3135087551071418,"score_spread":0.2358167848491402,"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."}}