{"id":"W6892914890","doi":"10.5281/zenodo.13219374","title":"Steatoda triangulosa","year":2024,"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":"Genus; Identification (biology); Natural (archaeology); Period (music)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003676477,0.00008375199,0.00007621962,0.0001666237,0.001242736,0.0009317595,0.0004935148,0.00004206876,0.1549502],"category_scores_gemma":[0.00008342487,0.00007921672,0.00005018069,0.0003821782,0.00009658613,0.0002953188,0.0001079275,0.000168524,0.05941072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001397449,"about_ca_system_score_gemma":0.000002778474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008524096,"about_ca_topic_score_gemma":0.000002413621,"domain_scores_codex":[0.9990366,0.0001399373,0.0001086981,0.0002748878,0.0002038889,0.0002360296],"domain_scores_gemma":[0.9995684,0.0000327628,0.00001954111,0.0001790697,0.00006681477,0.0001334226],"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":[0.00005517549,0.00001969414,0.0001591741,0.00005912919,0.00004864454,0.00009713149,0.0007638086,0.00004991565,0.00006192984,0.0009041274,0.2458765,0.7519048],"study_design_scores_gemma":[0.000165248,0.0001020578,0.003063648,0.00001635292,0.00001007983,0.00009506753,0.0002480672,0.001074806,0.00005122801,0.0001415414,0.994926,0.000105953],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09231538,0.0008215462,0.00171877,0.001235148,0.0005916316,0.0003899888,0.001012959,0.001803823,0.9001108],"genre_scores_gemma":[0.9960709,0.00005004113,0.0001877842,0.0001460299,0.0001944492,1.71591e-9,0.001971662,0.0001185799,0.001260596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9037555,"threshold_uncertainty_score":0.9558249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06248589655149033,"score_gpt":0.2109943692043934,"score_spread":0.148508472652903,"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."}}