{"id":"W6968729817","doi":"10.5281/zenodo.6088016","title":"Claustropyga stupenda Hippa & Vilkamaa, 2016, sp. n.","year":2016,"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":"Seta; Holotype; Dorsum; Paratype; Front (military); Keel","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":[0.0003561995,0.0001201873,0.0001493192,0.0001279246,0.00103665,0.00009012565,0.0004331588,0.00009662591,0.02825901],"category_scores_gemma":[0.0004491414,0.0000863735,0.00005589149,0.0002742504,0.0002481328,0.0001262593,0.0004458736,0.0002019742,0.03424845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001177656,"about_ca_system_score_gemma":0.000007525863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000646417,"about_ca_topic_score_gemma":1.309208e-7,"domain_scores_codex":[0.9987584,0.000136285,0.0002062109,0.0003664269,0.0002017131,0.000330989],"domain_scores_gemma":[0.9988074,0.0000358384,0.00006877309,0.0005187456,0.0003513488,0.0002179345],"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":[0.0001773324,0.0002683781,0.0001108742,0.00003350826,0.0000861415,0.00002457808,0.0002037786,3.944874e-7,0.1538365,0.01218219,0.5781544,0.254922],"study_design_scores_gemma":[0.0009753401,0.0002946007,0.003741038,0.00004654135,0.00002648077,0.0001900906,0.00008225402,0.000006761302,0.004550635,0.000351911,0.9896173,0.0001170876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3399176,0.0003728298,0.02527556,0.04671638,0.0003492059,0.002461936,0.0008115333,0.003726282,0.5803686],"genre_scores_gemma":[0.9849095,0.000174098,0.0004617347,0.0004947405,0.0003019578,1.186078e-7,0.0006195179,0.0007279602,0.0123104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6449919,"threshold_uncertainty_score":0.9726293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03650223665882198,"score_gpt":0.2724902876353614,"score_spread":0.2359880509765394,"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."}}