{"id":"W6930779594","doi":"10.5281/zenodo.14981363","title":"Sclerocoelus clarae","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":"Seta; Incertae sedis; Apex (geometry); Terminalia; 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":[0.0001101173,0.0004213483,0.0002250961,0.001260732,0.0008434609,0.0002766921,0.0003444463,0.0004534504,0.009990925],"category_scores_gemma":[0.0002663377,0.0001329879,0.0001105039,0.0004131444,0.000447505,0.0004435312,0.0006781265,0.0002980588,0.00227585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002968232,"about_ca_system_score_gemma":0.0002073447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004881005,"about_ca_topic_score_gemma":0.009533291,"domain_scores_codex":[0.9998277,0.00002491482,0.0000123869,0.00005677992,0.00005478091,0.00002331724],"domain_scores_gemma":[0.9998499,0.00002523307,0.00005847487,0.00001374198,0.00002981789,0.00002271188],"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":[0.0009466635,0.0002781209,0.08007529,0.0014969,0.0000838102,0.003924125,0.0023649,0.0008902533,0.2209243,0.002941521,0.008325985,0.6777482],"study_design_scores_gemma":[0.0001056185,0.000926375,0.8681323,0.0004601048,0.00006894855,0.01283952,0.001273653,0.001134907,0.01061598,0.0007129829,0.1036795,0.00005007138],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.844822,0.004782448,0.001397007,0.000233568,0.00008057557,0.00015123,0.0005564972,0.000198566,0.1477782],"genre_scores_gemma":[0.98451,0.0007903349,0.001403719,0.0001487221,0.00004113879,0.00004521794,0.0006150251,0.00001106803,0.01243472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009990925,"threshold_uncertainty_score":0.03342301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03026934695697406,"score_gpt":0.2208184688331007,"score_spread":0.1905491218761266,"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."}}