{"id":"W6931503421","doi":"10.5281/zenodo.6273589","title":"Trigenotyla vaga Causey","year":2003,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gonopod; Holotype; Cave; Taxonomy (biology); Salient; Nomenclature; Object (grammar)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004801945,0.0004843982,0.0002424593,0.001203951,0.001835795,0.0004216672,0.0003930065,0.0005061947,0.02648695],"category_scores_gemma":[0.000274585,0.0001656033,0.0001884311,0.0006785778,0.0007412827,0.0008582788,0.001053339,0.0005015248,0.007240482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004985209,"about_ca_system_score_gemma":0.0004091965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008515135,"about_ca_topic_score_gemma":0.01912053,"domain_scores_codex":[0.9999118,0.000007383704,0.000007000264,0.00003212422,0.00002829098,0.00001345661],"domain_scores_gemma":[0.9999382,0.000009943459,0.00001934957,0.000008180625,0.00001327107,0.00001106159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004004987,0.00012719,0.02522131,0.001317008,0.0000520228,0.007941023,0.003979456,0.001575722,0.04315752,0.01552985,0.07483666,0.8258618],"study_design_scores_gemma":[0.00007342319,0.000229336,0.1573947,0.0006742207,0.00007044466,0.01060823,0.002738886,0.000657866,0.003456232,0.003142554,0.8209015,0.000052549],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2553126,0.01180713,0.004376725,0.0008758389,0.001342987,0.0004445651,0.003240763,0.0007016173,0.7218978],"genre_scores_gemma":[0.8929794,0.00367819,0.003315689,0.0004778108,0.0002552089,0.0001531812,0.002005515,0.00007617463,0.09705879],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02648695,"threshold_uncertainty_score":0.08860773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0652352694717937,"score_gpt":0.1978954554064379,"score_spread":0.1326601859346442,"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."}}