{"id":"W6967784471","doi":"10.5281/zenodo.10376346","title":"Orcevia Yu, Maddison & Zhang, 2023, sp. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Embolus; Confusion; Meaning (existential); Noun","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":[0.0003073686,0.002000267,0.0008390053,0.001791257,0.00210813,0.001284613,0.001260777,0.002643805,0.01591905],"category_scores_gemma":[0.001442326,0.0004740653,0.0005481628,0.002285849,0.0009105037,0.002625204,0.001326977,0.001369344,0.009031291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000862533,"about_ca_system_score_gemma":0.0009994835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01394057,"about_ca_topic_score_gemma":0.01531103,"domain_scores_codex":[0.9994276,0.00006046937,0.0000564782,0.0001511475,0.0001681521,0.000136127],"domain_scores_gemma":[0.9996043,0.0000695264,0.0001176829,0.00005837566,0.0001146577,0.00003545782],"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":[0.001238473,0.0002003239,0.02013666,0.001802315,0.0002100514,0.01210871,0.002097999,0.002045486,0.01986603,0.005815967,0.1174276,0.8170505],"study_design_scores_gemma":[0.0002211343,0.0002123095,0.05979661,0.001383925,0.0002913871,0.008260489,0.002023666,0.00124779,0.003051753,0.0015265,0.9219005,0.00008389732],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2047576,0.05092305,0.01622396,0.005318133,0.006185201,0.002047003,0.01637999,0.001750644,0.6964145],"genre_scores_gemma":[0.7690241,0.04471758,0.02407217,0.007834632,0.002260316,0.002398455,0.01918653,0.0007621975,0.129744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01591905,"threshold_uncertainty_score":0.05325454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0509165615643629,"score_gpt":0.2114097218927002,"score_spread":0.1604931603283373,"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."}}