{"id":"W6930287452","doi":"10.5281/zenodo.10667948","title":"Acalypha ankaranensis I. Montero & Cardiel","year":2023,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Evergreen; Deciduous; Endemism; Massif; Threatened species; Altitude (triangle)","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":[0.00007523838,0.0004451049,0.0002104055,0.001135937,0.001255866,0.0003679149,0.0003298472,0.0004519633,0.01150383],"category_scores_gemma":[0.0001781486,0.0001336135,0.0001853738,0.0005990041,0.0004736554,0.0004522156,0.0005370785,0.0005342308,0.002891669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004750868,"about_ca_system_score_gemma":0.0002648692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01538548,"about_ca_topic_score_gemma":0.04097354,"domain_scores_codex":[0.9999022,0.00001142621,0.000006423007,0.00003221251,0.00002617129,0.0000214347],"domain_scores_gemma":[0.9999263,0.00001819647,0.00002650011,0.000005112101,0.00001389475,0.0000099858],"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":[0.0006902319,0.0002059216,0.02819939,0.001407331,0.00006522762,0.004966022,0.003904179,0.0007998973,0.04086584,0.00888882,0.02443967,0.8855675],"study_design_scores_gemma":[0.00006396154,0.0002308159,0.6032454,0.0007894879,0.0001094202,0.00614685,0.00184146,0.0004472515,0.002326637,0.001252475,0.3835025,0.00004364028],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2803636,0.01771322,0.001973625,0.0009743572,0.0005500246,0.0004366491,0.002420155,0.0002988559,0.6952695],"genre_scores_gemma":[0.9559339,0.003413319,0.004031787,0.0005365179,0.0002373828,0.0001444342,0.001552283,0.00003439514,0.03411604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01538548,"threshold_uncertainty_score":0.03848422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03188230929968169,"score_gpt":0.2509176555672677,"score_spread":0.219035346267586,"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."}}