{"id":"W6969016740","doi":"10.5281/zenodo.4647710","title":"Klimaszewskityrus Yin & Zhang 2021, nom. nov.","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Study of Mite Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zhàng; Yin and yang; Type (biology); Term (time)","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003359722,0.0001203873,0.0001367242,0.00002649111,0.001975019,0.0006426468,0.0006774107,0.00005680524,0.08593777],"category_scores_gemma":[0.0004651005,0.00006572136,0.0000718219,0.0006944479,0.0001058747,0.0001581849,0.001099734,0.0001811018,0.01316249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006856667,"about_ca_system_score_gemma":0.000001432187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003793879,"about_ca_topic_score_gemma":0.00001027839,"domain_scores_codex":[0.9984851,0.0002308823,0.0001787408,0.0004095726,0.0003438648,0.0003518054],"domain_scores_gemma":[0.9991524,0.00004785408,0.00005971437,0.00014962,0.0004484913,0.0001419774],"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":[0.00003037549,0.0002455526,0.00007340503,0.00001255955,0.00003538345,0.00004986418,0.0005459223,0.000003882536,0.2796664,0.001861679,0.2117271,0.5057479],"study_design_scores_gemma":[0.0001557387,0.0001339531,0.01517217,0.00001217948,0.000006963259,0.00006314387,0.001130069,0.00001927388,0.00323177,0.0001096412,0.9798118,0.0001532498],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6225817,0.0003698441,0.00004419579,0.006314982,0.0001986995,0.0003036142,0.0002937851,0.0006061937,0.369287],"genre_scores_gemma":[0.9909486,0.0002189962,0.0001795389,0.0003818174,0.0006204126,3.619035e-8,0.001631458,0.00009324626,0.005925925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7680847,"threshold_uncertainty_score":0.9993243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0437267618171628,"score_gpt":0.2215457674102916,"score_spread":0.1778190055931288,"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."}}