{"id":"W6949926224","doi":"10.5281/zenodo.3691340","title":"Haliplus stagninus Leech 1948","year":2020,"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; Paratype; Derogation; Paraphernalia; Rhinoceros","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001972279,0.0000961052,0.0001344829,0.00006324525,0.0009711143,0.0001135519,0.0003682517,0.00007307281,0.01255341],"category_scores_gemma":[0.0003990883,0.00009186449,0.00004680082,0.0003543437,0.0001395438,0.00007457991,0.0004245838,0.0002833641,0.02074254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005520464,"about_ca_system_score_gemma":0.000005214141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005599929,"about_ca_topic_score_gemma":8.050466e-8,"domain_scores_codex":[0.9990017,0.0001037135,0.0001668566,0.0003169717,0.0001758514,0.0002348775],"domain_scores_gemma":[0.9991078,0.00001433685,0.00005031636,0.0002909337,0.0002744735,0.0002621471],"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":[0.0003569987,0.0003296834,0.0001241636,0.0001293374,0.0001431572,0.00008468825,0.002100072,0.00002983212,0.06630268,0.01702929,0.7827395,0.1306306],"study_design_scores_gemma":[0.0006695866,0.0003303725,0.00155143,0.000009918275,0.00002460625,0.0001422857,0.0001651921,0.0002200813,0.001837754,0.00009909314,0.9948519,0.00009780454],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2121474,0.0003200328,0.01795641,0.07427457,0.0001401857,0.00196408,0.0004470992,0.004187264,0.6885629],"genre_scores_gemma":[0.9934116,0.00004875484,0.0005244865,0.002321092,0.0002628539,5.738867e-8,0.001454626,0.0006137952,0.001362741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7812642,"threshold_uncertainty_score":0.9883493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05940145045668366,"score_gpt":0.2725886792544612,"score_spread":0.2131872287977775,"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."}}