{"id":"W4405484507","doi":"10.1016/j.algal.2024.103869","title":"Rich molecular diversity of ribosomal RNA genes in Pseudo-nitzschia species (Bacillariophyceae) revealed through single-strain high throughput sequencing","year":2024,"lang":"en","type":"article","venue":"Algal Research","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"National Key Research and Development Program of China; Chinese Academy of Sciences; Institute of Oceanology, Chinese Academy of Sciences; Qingdao National Laboratory for Marine Science and Technology; National Natural Science Foundation of China","keywords":"Strain (injury); Ribosomal RNA; Biology; Gene; RNA; DNA sequencing; Computational biology; Genetics; Anatomy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007917677,0.0002169492,0.0002918544,0.0001383534,0.0002116503,0.00005825849,0.0004352569,0.0001963485,0.00004123019],"category_scores_gemma":[0.0001738452,0.0002098518,0.0001314659,0.0004892755,0.0003611582,0.000004009471,0.001212105,0.0003150117,0.00001259717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001136708,"about_ca_system_score_gemma":0.000255471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008751969,"about_ca_topic_score_gemma":0.000246843,"domain_scores_codex":[0.9976577,0.0002371469,0.0003532678,0.0006184785,0.000538496,0.000594962],"domain_scores_gemma":[0.999091,0.00009965066,0.0000478675,0.0004303779,0.0002577097,0.00007342861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006509817,0.00005229394,0.004534016,0.0001099897,0.0001445657,0.0001300683,0.0006935186,0.0001623586,0.9901311,0.002798232,0.0002592791,0.0009194618],"study_design_scores_gemma":[0.0006146956,0.0007451837,0.01915544,0.0001265108,0.00003514802,0.00002666059,0.0008882526,0.00009939176,0.9674608,0.005828658,0.004609801,0.0004094881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985755,0.008033399,0.0001865028,0.0002963932,0.000187414,0.0002849371,0.0002262843,0.00000619953,0.005023845],"genre_scores_gemma":[0.9957721,0.001412697,0.002044455,0.00004434439,0.0002143983,0.00001326826,0.0000505927,0.0000303998,0.000417785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02267035,"threshold_uncertainty_score":0.855751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07193609330611953,"score_gpt":0.3128330782719067,"score_spread":0.2408969849657872,"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."}}