{"id":"W6969235297","doi":"10.5281/zenodo.5631629","title":"Hirudo","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":"Leech; Population; Hirudo medicinalis; Taxonomy (biology)","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":[0.00012862,0.0005862301,0.00047628,0.001631555,0.002713354,0.0007116985,0.000562199,0.0006229248,0.0290953],"category_scores_gemma":[0.0003138207,0.0002439414,0.00030098,0.001222851,0.0006739246,0.001090467,0.001379015,0.0005026708,0.006695695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003370495,"about_ca_system_score_gemma":0.0003003012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005400875,"about_ca_topic_score_gemma":0.007665863,"domain_scores_codex":[0.9997943,0.00002936243,0.00002388615,0.00007006678,0.00004159479,0.00004083971],"domain_scores_gemma":[0.999824,0.00003359687,0.00004340955,0.00002442554,0.00004163035,0.00003301165],"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":[0.0008674132,0.0003427384,0.03248879,0.00163236,0.000111202,0.005164598,0.004965228,0.0006283169,0.04706873,0.01399629,0.02757372,0.8651608],"study_design_scores_gemma":[0.0002760971,0.0006985762,0.2482431,0.001048833,0.0002878247,0.00925999,0.007885692,0.001090049,0.008456376,0.008255725,0.7144057,0.00009212372],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4731202,0.01630709,0.009468541,0.001278753,0.002691725,0.001006704,0.004706833,0.000816961,0.4906032],"genre_scores_gemma":[0.9171973,0.002459192,0.006444635,0.001894983,0.0008844754,0.0003146214,0.002231339,0.00008015928,0.06849325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0290953,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03798058060607154,"score_gpt":0.2868227051908423,"score_spread":0.2488421245847708,"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."}}