{"id":"W6967403178","doi":"10.5281/zenodo.10376340","title":"Orcevia wuliang Yu & Maddison & Zhang 2023, sp. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Holotype; Paratype; Dorsum; Solar prominence; Trunk","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002782526,0.001787346,0.0009112544,0.002430642,0.002180571,0.001061393,0.001114071,0.001938568,0.01449524],"category_scores_gemma":[0.0008422546,0.0004290725,0.0005302704,0.002459327,0.0009278228,0.002030048,0.001300703,0.001199923,0.006889191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008042844,"about_ca_system_score_gemma":0.0008327112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01267943,"about_ca_topic_score_gemma":0.01631912,"domain_scores_codex":[0.9995646,0.00003615518,0.00003789789,0.0001473951,0.0001208375,0.00009315197],"domain_scores_gemma":[0.9997545,0.00003747634,0.00008423392,0.00002966444,0.00006878062,0.0000252893],"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":[0.001005916,0.0002298533,0.02731757,0.003071825,0.0002273283,0.01191693,0.002799267,0.00241536,0.03016452,0.006173886,0.08669226,0.8279853],"study_design_scores_gemma":[0.0003243056,0.0002659129,0.1235964,0.002077867,0.0004492684,0.01314406,0.00331668,0.002255331,0.004132542,0.002190935,0.8481185,0.0001280766],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2915004,0.05732725,0.0166485,0.004331504,0.003868746,0.002162606,0.01993731,0.002417077,0.6018066],"genre_scores_gemma":[0.8642039,0.0241997,0.01746922,0.004847637,0.0009958907,0.001831485,0.01527831,0.0004191048,0.07075476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01449524,"threshold_uncertainty_score":0.04849148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0298902160711977,"score_gpt":0.2461182624495465,"score_spread":0.2162280463783487,"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."}}