{"id":"W6892462035","doi":"10.5281/zenodo.10573357","title":"Tachydromia monacha Melander Holarctic 1928","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Leech; Holarctic; Coroner; Holotype; Inquest","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":[0.00008304873,0.0003065515,0.0001593507,0.0008039051,0.0009941147,0.000219958,0.0002127321,0.0001636932,0.003798811],"category_scores_gemma":[0.0001107698,0.0001536731,0.00009954627,0.0003657838,0.0003568293,0.0002809145,0.0004051555,0.0003525305,0.0009527276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000536709,"about_ca_system_score_gemma":0.0001931706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02798177,"about_ca_topic_score_gemma":0.09090643,"domain_scores_codex":[0.9999461,0.000004141187,0.000005123769,0.00002092206,0.00001189564,0.00001174502],"domain_scores_gemma":[0.9999231,0.000005808555,0.0000375538,0.000007161897,0.00001662317,0.000009832716],"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":[0.0009874871,0.0002147634,0.3421624,0.0008631291,0.0001468927,0.006812209,0.003570141,0.0009182075,0.1076367,0.00447033,0.03459897,0.4976187],"study_design_scores_gemma":[0.00003391364,0.0001148904,0.9328678,0.0001956269,0.00008378967,0.005028075,0.001221154,0.0002253338,0.003301282,0.0004698967,0.05644177,0.00001663974],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8155892,0.008448556,0.001783045,0.0005906117,0.0002558478,0.0001441245,0.002807423,0.00052222,0.169859],"genre_scores_gemma":[0.9884061,0.001650471,0.0008109802,0.0001926254,0.00005856541,0.00002261292,0.0005531597,0.0000147054,0.00829089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02798177,"threshold_uncertainty_score":0.05563778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01714218126965379,"score_gpt":0.2222769992021301,"score_spread":0.2051348179324764,"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."}}