{"id":"W3208089425","doi":"10.5281/zenodo.3555585","title":"Supplementary data for Kvist et. al. 2020 \"Draft genome of the European medicinal leech Hirudo medicinalis (Annelida: Clitellata: Hirudiniformes) with emphasis on anticoagulants\"","year":2019,"lang":"en","type":"dataset","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":"Royal Ontario Museum","funders":"European Commission","keywords":"Hirudo medicinalis; Clitellata; Leech; Biology; Zoology; Computer science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002206465,0.0004149597,0.0006477726,0.0002550359,0.001133415,0.0001367266,0.002941164,0.0001600837,0.007896125],"category_scores_gemma":[0.0007153816,0.0002861182,0.0001216973,0.0005913815,0.0006055566,0.0001243069,0.002352393,0.0009070884,0.001329601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536452,"about_ca_system_score_gemma":0.00005370701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009908854,"about_ca_topic_score_gemma":0.000006800112,"domain_scores_codex":[0.9962655,0.0006270324,0.0006917595,0.001069801,0.0008107193,0.0005352119],"domain_scores_gemma":[0.9954673,0.0001625548,0.0005176304,0.003041194,0.0005734718,0.0002378553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005218287,0.0003662962,0.00001366186,0.0004096603,0.0004073662,0.000034449,0.00009442303,0.000005136064,0.0007168812,0.00008569924,0.9933368,0.004007778],"study_design_scores_gemma":[0.002221812,0.001390449,0.0009663019,0.000380591,0.0005084046,0.0004101178,0.0001948903,0.00002514784,0.0001097183,0.000009988218,0.9934975,0.000285067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005569299,0.0001523395,0.0003311953,0.01515893,0.0001684245,0.002245938,0.9764023,0.0001048495,0.004879093],"genre_scores_gemma":[0.005899043,0.001088517,0.000177723,0.004967879,0.0004029188,4.425667e-7,0.9862013,0.0008383034,0.0004238639],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01019105,"threshold_uncertainty_score":0.9999591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06882675449401383,"score_gpt":0.3247426674081996,"score_spread":0.2559159129141858,"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."}}