{"id":"W4400505429","doi":"10.1080/09670262.2024.2353940","title":"<i>Plocamiomonas psychrophila</i> gen. et sp. nov. (Pelagophyceae, Heterokontophyta), an Arctic marine nanoflagellate characterized by microscopy, pigments and molecular phylogeny","year":2024,"lang":"en","type":"article","venue":"European Journal of Phycology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Hartmann Fonden; Carlsbergfondet; Université Laval","keywords":"Biology; Arctic; Bay; Phylogenetics; Flagellum; Phylogenetic tree; Ultrastructure; Molecular phylogenetics; Botany; Zoology; Ecology; Paleontology; Oceanography; Gene; Bacteria; Genetics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00104626,0.0002969492,0.0004306666,0.0001074105,0.0001597746,0.00006632298,0.0005839237,0.00009419147,0.002967423],"category_scores_gemma":[0.00001719028,0.0002707987,0.0001348776,0.0001810586,0.0004855262,0.0002828077,0.0005549661,0.0007041988,0.0003773293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007805222,"about_ca_system_score_gemma":0.00002403211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003123108,"about_ca_topic_score_gemma":0.00003275028,"domain_scores_codex":[0.9964283,0.00207361,0.0005727697,0.000378963,0.0001296795,0.0004166866],"domain_scores_gemma":[0.9990492,0.00009685679,0.0002787326,0.0003319646,0.00002612318,0.0002170754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002663449,0.0002453302,0.001231635,0.00004570611,0.0001170202,0.0007965777,0.0003142323,0.00002625246,0.9901356,0.00002464095,0.002666938,0.004129767],"study_design_scores_gemma":[0.008429621,0.01526408,0.2637834,0.0003309061,0.0004994553,0.007562724,0.0001492347,0.0002270032,0.1024507,0.005372922,0.5936248,0.002305134],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939568,0.0006735329,0.0004093277,0.0004603705,0.0008121204,0.0001956315,0.00002181365,0.00002923177,0.003441149],"genre_scores_gemma":[0.9948156,0.0004812113,0.0009761592,0.003251177,0.0001420252,0.000002449275,0.00003776282,0.0000589884,0.0002346218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8876848,"threshold_uncertainty_score":0.9999744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006999441450333837,"score_gpt":0.2440657737925782,"score_spread":0.2370663323422443,"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."}}