{"id":"W6968067584","doi":"10.5281/zenodo.14951286","title":"Coproica setulosa","year":2015,"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":"University of Calgary; University of Guelph","funders":"","keywords":"Bristle; Seta; Dorsum; Wing; Basal (medicine)","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":[0.00005352424,0.0006730978,0.0003366823,0.001487331,0.001457437,0.0003176211,0.0005264623,0.0002461903,0.01330377],"category_scores_gemma":[0.0001484004,0.0002853588,0.000222158,0.0006167699,0.00042681,0.0004295142,0.0007718789,0.0003045938,0.002832836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008526479,"about_ca_system_score_gemma":0.0002669732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01155783,"about_ca_topic_score_gemma":0.02377294,"domain_scores_codex":[0.9998994,0.000009171316,0.000007313001,0.00004368719,0.00002069064,0.00001979175],"domain_scores_gemma":[0.9999318,0.000005099551,0.00002543253,0.00001141021,0.00001621745,0.00001003745],"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":[0.0006088782,0.0002398173,0.1040709,0.001253999,0.000192447,0.00293494,0.003635755,0.0008501978,0.1369997,0.008386112,0.02286444,0.7179627],"study_design_scores_gemma":[0.00006097933,0.0002576392,0.5215293,0.0004498674,0.0001125709,0.007301612,0.001405442,0.00051238,0.006451955,0.0007857425,0.4610807,0.00005195985],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5806695,0.0119592,0.002420454,0.000182181,0.000221254,0.0002516418,0.003004927,0.0004966389,0.4007943],"genre_scores_gemma":[0.9672782,0.001454611,0.0013447,0.0001549277,0.00004277094,0.00006742495,0.001614258,0.00003234603,0.02801071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01330377,"threshold_uncertainty_score":0.0445056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1100691088098332,"score_gpt":0.2116246368711659,"score_spread":0.1015555280613328,"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."}}