{"id":"W6911896314","doi":"10.5281/zenodo.14946350","title":"Trichoclinocera subelongata Saigusa & Sinclair, 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Holotype; Seta; Dorsum; Vertex (graph theory); Genus","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002319121,0.001113068,0.000395714,0.001385773,0.001367024,0.0005589646,0.0007883557,0.0008610073,0.003911459],"category_scores_gemma":[0.0004265208,0.0003632521,0.0003240606,0.001572279,0.0005656268,0.001197521,0.0005109335,0.0007360321,0.004654295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007551969,"about_ca_system_score_gemma":0.0008050047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02254053,"about_ca_topic_score_gemma":0.05699484,"domain_scores_codex":[0.9998345,0.00001428148,0.00002684325,0.00006623517,0.00003347898,0.00002460549],"domain_scores_gemma":[0.999747,0.00003863368,0.00007432506,0.00003386038,0.00007821848,0.00002796157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005103556,0.0002384828,0.07113821,0.001901208,0.0002159155,0.00731845,0.004857054,0.00115701,0.03914012,0.0009922392,0.01878568,0.8537453],"study_design_scores_gemma":[0.0002074568,0.0008054379,0.560515,0.001790634,0.0005246736,0.03924105,0.007489572,0.00227528,0.008606181,0.001095347,0.3773272,0.0001221241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7311252,0.03746492,0.009550111,0.0009750611,0.001579151,0.00183284,0.009914959,0.000932251,0.2066255],"genre_scores_gemma":[0.9163312,0.01890348,0.02183421,0.001341636,0.0003649297,0.000784396,0.009247875,0.0001040539,0.03108827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02254053,"threshold_uncertainty_score":0.0448187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03119614694356897,"score_gpt":0.2783311594287003,"score_spread":0.2471350124851313,"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."}}