{"id":"W6912608081","doi":"10.5281/zenodo.4477251","title":"Tachypeza sericeipalpis Frey in Lundstrom & Frey 1913","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seta; Ridge; Apex (geometry); Dorsum; Femur","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":[0.0001426008,0.00071001,0.0003498102,0.001543044,0.001650441,0.0004675131,0.0004847929,0.0008640639,0.007626841],"category_scores_gemma":[0.0004253391,0.0002529417,0.0001942495,0.0006655349,0.0008842141,0.001036432,0.0006362069,0.0005940053,0.002926931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008538797,"about_ca_system_score_gemma":0.0005121451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01667331,"about_ca_topic_score_gemma":0.02641829,"domain_scores_codex":[0.9998795,0.00001537089,0.00001472552,0.00003708169,0.00003109296,0.00002217142],"domain_scores_gemma":[0.9999186,0.00001774399,0.00003250581,0.000005286108,0.00001856329,0.000007210275],"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":[0.0005806945,0.000153446,0.0343423,0.001011449,0.00006075492,0.009205827,0.005471019,0.001471108,0.02270645,0.0123154,0.05520564,0.8574759],"study_design_scores_gemma":[0.00009679138,0.0003634675,0.1945728,0.00222503,0.0001893777,0.02625359,0.003467109,0.0007885626,0.003069073,0.003458465,0.7654413,0.00007444808],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4186638,0.05402964,0.006667234,0.001422794,0.001729961,0.0005173198,0.002040706,0.0006871902,0.5142414],"genre_scores_gemma":[0.9513448,0.01035578,0.004206973,0.0005421035,0.0003126093,0.0001462405,0.000854877,0.00003291043,0.03220369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01667331,"threshold_uncertainty_score":0.03315252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02821639214652882,"score_gpt":0.1946384199859447,"score_spread":0.1664220278394159,"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."}}