{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006960966,0.0005413652,0.0004868027,0.002116155,0.0008499094,0.000486801,0.0007467815,0.0005764996,0.004098802],"category_scores_gemma":[0.001443341,0.0001883636,0.0004993061,0.002351097,0.0004476281,0.0005092902,0.000537748,0.0004321645,0.002462322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005218877,"about_ca_system_score_gemma":0.0005200288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00513769,"about_ca_topic_score_gemma":0.02139635,"domain_scores_codex":[0.9993994,0.00008513185,0.0001186078,0.0001918783,0.0001438981,0.00006093472],"domain_scores_gemma":[0.998654,0.0001528684,0.0004724361,0.0003075331,0.0003034052,0.0001097054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000546539,0.0001347716,0.195099,0.001155978,0.0002775367,0.001437948,0.002757898,0.0007237594,0.4498056,0.00192206,0.005589948,0.3405489],"study_design_scores_gemma":[0.00005643569,0.0002475599,0.753029,0.0002496708,0.0003486506,0.004006361,0.001890818,0.004626448,0.06688795,0.0009249381,0.1676587,0.00007349286],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8139005,0.002707265,0.1099128,0.0003940785,0.0007033511,0.001996554,0.0187428,0.0006882309,0.05095433],"genre_scores_gemma":[0.6502302,0.001294483,0.3047862,0.0004891467,0.0001509177,0.001902185,0.02595921,0.0003199711,0.01486778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00513769,"threshold_uncertainty_score":0.01371187,"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."}}