{"id":"W6950026716","doi":"10.5281/zenodo.5631637","title":"Erpobdella obscura Verrill 1872","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Leech Biology and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dorsum; Nearctic ecozone; Table (database); Longitude; Section (typography)","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":[0.000108349,0.0006424283,0.0003022965,0.001010258,0.001062754,0.000610842,0.0005574682,0.0003266204,0.009025712],"category_scores_gemma":[0.0002020978,0.0002654787,0.0001697741,0.0003560696,0.0004410944,0.0008518147,0.0007806497,0.0003918602,0.003601809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006538816,"about_ca_system_score_gemma":0.0001859662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01208532,"about_ca_topic_score_gemma":0.0284641,"domain_scores_codex":[0.9998044,0.00001504529,0.00001299874,0.00008175198,0.00005252855,0.00003319164],"domain_scores_gemma":[0.9998401,0.00002684517,0.00007217046,0.00001557325,0.00002821025,0.00001693669],"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":[0.0006116221,0.0001174409,0.0963903,0.001087421,0.0001411377,0.008203086,0.00271387,0.001106907,0.06608661,0.00267439,0.03880075,0.7820664],"study_design_scores_gemma":[0.000033828,0.0002708418,0.5955567,0.0006238359,0.0000951009,0.008331241,0.001095594,0.0005931988,0.006012967,0.000405003,0.3869414,0.00004022833],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5210394,0.027117,0.005786362,0.0005488473,0.0006300808,0.0003069168,0.004805045,0.0008638583,0.4389024],"genre_scores_gemma":[0.936267,0.003836877,0.00254018,0.0006081169,0.0002092183,0.00008165657,0.003303366,0.00007480876,0.05307873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01208532,"threshold_uncertainty_score":0.03019404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0393089472538421,"score_gpt":0.2850489796884143,"score_spread":0.2457400324345722,"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."}}