{"id":"W4390704226","doi":"10.1093/ismeco/ycad009","title":"Rich diversity and active spatial–temporal dynamics of<i>Thalassiosira</i>species revealed by time-series metabarcoding analysis","year":2024,"lang":"en","type":"article","venue":"ISME Communications","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Bay; Ecology; Biology; Aquatic ecosystem; Marine ecosystem; Ecosystem; Oceanography","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":[0.0004320919,0.00009816018,0.0002516746,0.0001816476,0.0007173498,0.0001318209,0.0006798112,0.000043399,0.0003737181],"category_scores_gemma":[0.00006742431,0.000088851,0.00009009296,0.0006887363,0.0004158043,0.0003583533,0.002224398,0.0001461095,0.00003093062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006391046,"about_ca_system_score_gemma":0.0000437518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001038382,"about_ca_topic_score_gemma":0.0006351289,"domain_scores_codex":[0.9989954,0.0001984663,0.000199986,0.0002016521,0.0002402344,0.0001642724],"domain_scores_gemma":[0.9986781,0.0003373928,0.00007203394,0.0007390833,0.000105201,0.00006815658],"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":[0.0001597695,0.001077863,0.2625081,0.0005654084,0.003557102,0.00002360455,0.01931842,0.00008400482,0.5787767,0.09296192,0.01512964,0.02583744],"study_design_scores_gemma":[0.001933629,0.0007314118,0.4580808,0.0007911812,0.007380144,0.00003065955,0.01154731,0.2640393,0.1443923,0.01858266,0.0894974,0.0029932],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812919,0.003624352,0.002905786,0.004191597,0.00007068621,0.0002328767,0.001195419,0.0001360579,0.006351353],"genre_scores_gemma":[0.9945056,0.0009525942,0.002364478,0.00001124118,0.000009607365,0.00001201343,0.0001552524,0.000008640097,0.001980589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4343845,"threshold_uncertainty_score":0.5517347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03196346920879232,"score_gpt":0.2901486228329778,"score_spread":0.2581851536241855,"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."}}