{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001112607,0.0006635516,0.0003086916,0.001813366,0.001778226,0.000371066,0.0005208138,0.0003444132,0.01933424],"category_scores_gemma":[0.0004025247,0.0002277508,0.0002007069,0.001185164,0.0003922996,0.0008398024,0.0008867178,0.0003354326,0.005565743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004465331,"about_ca_system_score_gemma":0.0002825309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008365449,"about_ca_topic_score_gemma":0.02291542,"domain_scores_codex":[0.9998841,0.00001178512,0.000009761959,0.00004270628,0.00003571784,0.0000158484],"domain_scores_gemma":[0.9998789,0.00001234588,0.00004703373,0.00001656397,0.00003211888,0.00001310118],"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":[0.0005724304,0.0002201595,0.09834451,0.001576229,0.00014741,0.001462907,0.003112341,0.002170583,0.04842935,0.01439129,0.04804312,0.7815297],"study_design_scores_gemma":[0.0001111723,0.0003901703,0.4232778,0.001024166,0.000197429,0.004816559,0.002401597,0.001555205,0.003768397,0.004211236,0.5581699,0.00007645511],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5607798,0.007250682,0.007475526,0.0004716902,0.0003223681,0.0005784546,0.01366131,0.0008244138,0.4086358],"genre_scores_gemma":[0.9329864,0.003304501,0.007214223,0.0003466547,0.0001051319,0.0003545824,0.008403658,0.0001148996,0.04717004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01933424,"threshold_uncertainty_score":0.06467944,"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."}}