{"id":"W6968300526","doi":"10.5281/zenodo.14981357","title":"Sclerocoelus vulgatus Kuwahara, Marshall & Paiero, 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Tardigrade Biology and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Holotype; Meaning (existential); Statistical analysis; Shrew","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001150289,0.001106351,0.0003012151,0.002701442,0.001516137,0.0005482542,0.0006186014,0.0006526741,0.009525517],"category_scores_gemma":[0.0005981643,0.0003401909,0.0002429031,0.001675354,0.000775293,0.001068701,0.0008156473,0.0005613206,0.005651352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006298093,"about_ca_system_score_gemma":0.0007358653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03330848,"about_ca_topic_score_gemma":0.08034015,"domain_scores_codex":[0.999843,0.00001419399,0.00002057998,0.00004849239,0.00004678435,0.00002685016],"domain_scores_gemma":[0.9997367,0.00004200785,0.0001041624,0.00002736769,0.00004877078,0.00004104069],"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":[0.0005137346,0.0002495281,0.1044242,0.001714107,0.0002422948,0.006792997,0.002703841,0.001395679,0.02929109,0.002171665,0.02471682,0.8257839],"study_design_scores_gemma":[0.0001154863,0.000209503,0.7936594,0.001537818,0.0003837316,0.0124178,0.00336334,0.001043385,0.004245866,0.0008539907,0.1821019,0.0000677335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5129722,0.01425616,0.006397807,0.0007959701,0.0009675345,0.001529846,0.01211174,0.001167383,0.4498014],"genre_scores_gemma":[0.9209056,0.009329082,0.00666238,0.00100534,0.0002691666,0.0007947496,0.006667948,0.0001036625,0.05426199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03330848,"threshold_uncertainty_score":0.06622922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286522178498255,"score_gpt":0.2265235630380965,"score_spread":0.1936583412531139,"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."}}