{"id":"W6893159477","doi":"10.5281/zenodo.14981260","title":"Sclerocoelus brasilensis Marshall 1997","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Wildlife refuge; Wildlife; National laboratory; Fish <Actinopterygii>; Malaise","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":[0.00006266769,0.0004455451,0.0001546595,0.001479323,0.0008872383,0.0002680089,0.0002413846,0.0002240416,0.008562195],"category_scores_gemma":[0.000287763,0.000157924,0.00008687312,0.0006612688,0.0004331975,0.0003017195,0.000379012,0.000204613,0.001560212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006340662,"about_ca_system_score_gemma":0.000357998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05321927,"about_ca_topic_score_gemma":0.1143211,"domain_scores_codex":[0.9999163,0.000008025862,0.000006915151,0.00002185464,0.00003157251,0.00001532585],"domain_scores_gemma":[0.9999059,0.00001233518,0.00003352371,0.000008638419,0.00002354451,0.00001597701],"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":[0.0004542629,0.0002210606,0.1923886,0.0008879637,0.00008457775,0.005255415,0.002663629,0.0008211759,0.09554219,0.006729404,0.02094749,0.6740041],"study_design_scores_gemma":[0.00005473254,0.0001556113,0.8638596,0.0003065248,0.00005602242,0.00546542,0.001482092,0.0005750241,0.003218021,0.0009254426,0.1238768,0.00002473871],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6248448,0.00506383,0.001469083,0.000299781,0.00008550059,0.0002851262,0.001352293,0.0002318405,0.3663678],"genre_scores_gemma":[0.985593,0.001420398,0.001017143,0.0001147979,0.00002389249,0.00004049967,0.0005915069,0.00001274926,0.01118588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05321927,"threshold_uncertainty_score":0.105819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0341617785718976,"score_gpt":0.2378741725143735,"score_spread":0.2037123939424759,"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."}}