{"id":"W6968534527","doi":"10.5281/zenodo.3716635","title":"Aleuropteryx","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tree (set theory); Population; Field (mathematics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005384786,0.0004732359,0.0002091625,0.001171776,0.0008945377,0.0002435173,0.000371737,0.0003482042,0.03047323],"category_scores_gemma":[0.0001689528,0.000153008,0.0002780951,0.0005295405,0.0003328993,0.0005313311,0.0008291684,0.0004060272,0.004906907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003528484,"about_ca_system_score_gemma":0.0001954189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005746077,"about_ca_topic_score_gemma":0.01383958,"domain_scores_codex":[0.9999169,0.000005255277,0.000006505735,0.00003620954,0.00002255324,0.00001249276],"domain_scores_gemma":[0.9999328,0.000008809209,0.00002429739,0.00001177008,0.00001236439,0.00000988968],"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":[0.001601152,0.0002345206,0.1331481,0.001548199,0.0002367437,0.003675587,0.002621175,0.00181626,0.209115,0.01046978,0.048388,0.5871455],"study_design_scores_gemma":[0.00006672902,0.0001668554,0.7887017,0.0001969875,0.00009521107,0.002645943,0.0007487885,0.0003592992,0.004839909,0.0007349757,0.201422,0.00002164092],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5665799,0.00166034,0.004722156,0.0003987058,0.0002445576,0.000285429,0.0140599,0.0009113529,0.4111377],"genre_scores_gemma":[0.8923576,0.0006331472,0.005406131,0.0006287912,0.0000846254,0.0001154696,0.01432179,0.0001443991,0.08630794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03047323,"threshold_uncertainty_score":0.1019431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05036182876932424,"score_gpt":0.2132272574334256,"score_spread":0.1628654286641013,"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."}}