{"id":"W4377990477","doi":"10.1016/j.ecss.2023.108373","title":"Seasonal and spatial dynamics of phylogenetic structure of fish communities in coastal waters","year":2023,"lang":"en","type":"article","venue":"Estuarine Coastal and Shelf Science","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"National Key Research and Development Program of China; China Scholarship Council; Concordia University; Ministry of Science and Technology of the People's Republic of China","keywords":"Phylogenetic tree; Biology; Community structure; Taxon; Phylogenetic diversity; Ecology; Phylogenetics; Phylogenetic comparative methods; Geography","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":[0.00009824352,0.00007738787,0.0001068741,0.00008002092,0.00007342765,0.00001348637,0.0001408225,0.00004597123,0.000009747613],"category_scores_gemma":[0.00001885117,0.00007074961,0.0000156886,0.0001922727,0.0007391172,0.000006027291,0.000473999,0.00005155772,1.361859e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002177576,"about_ca_system_score_gemma":0.00004463791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001024439,"about_ca_topic_score_gemma":0.008505356,"domain_scores_codex":[0.9994303,0.00002018242,0.0001184836,0.0001429602,0.0001508554,0.0001372321],"domain_scores_gemma":[0.999725,0.000009167575,0.0000459252,0.0001106965,0.0000605505,0.00004858909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005412822,0.00001347668,0.8061517,0.00005606928,0.00000756065,0.000001612577,0.0006634374,0.0006934815,0.1833167,0.00016273,0.00003446655,0.008844627],"study_design_scores_gemma":[0.0003898597,0.0001815714,0.9699001,0.00001335594,0.000005697292,0.00001045418,0.001310982,0.003088973,0.02457906,0.0002866689,0.0001359986,0.00009730134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994531,0.00001328356,0.00006590776,0.00008178125,0.00006793982,0.00005588391,0.0001669937,0.000002895964,0.00009223622],"genre_scores_gemma":[0.9994987,0.00006626116,0.0001476282,0.00002701334,0.00001463393,3.88317e-7,0.0001594838,0.000002918616,0.00008299574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1637483,"threshold_uncertainty_score":0.4746188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008801287933173281,"score_gpt":0.2189664349468619,"score_spread":0.2101651470136886,"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."}}