{"id":"W6948922682","doi":"10.5281/zenodo.10667955","title":"Acalypha cardielii I. Montero & G. A. Levin","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"IUCN Red List; Protected area; Deciduous; Endemism; National park; IUCN protected area categories; Habitat; Deforestation (computer science); Habitat destruction","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004118332,0.00009589184,0.00009781465,0.00009058663,0.000730232,0.000152315,0.0005592082,0.0001042347,0.0008151638],"category_scores_gemma":[0.0006234369,0.00009260349,0.00005890459,0.0003045499,0.000159771,0.000004550441,0.0009233843,0.000124979,0.004212648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001800394,"about_ca_system_score_gemma":0.000002578528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006164814,"about_ca_topic_score_gemma":2.803236e-7,"domain_scores_codex":[0.9989218,0.0001421433,0.0001369718,0.0003224219,0.0001791564,0.0002975775],"domain_scores_gemma":[0.9993532,0.000007897614,0.00003701944,0.0003393087,0.0001470788,0.0001154581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004199749,0.00003199817,0.000009828729,0.00002144042,0.00004685309,0.00001330391,0.0001858853,0.00001733817,0.05783321,0.0001512452,0.6720889,0.269558],"study_design_scores_gemma":[0.0002672993,0.0002275892,0.0009704191,0.000009640648,0.00000599458,0.00003604837,0.000213894,0.00009069908,0.003458842,0.00004783039,0.9945616,0.000110118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7708381,0.001274666,0.01037094,0.005454771,0.0007253394,0.0007328883,0.0005393773,0.003253274,0.2068106],"genre_scores_gemma":[0.9914249,0.0003662431,0.0002660918,0.000268553,0.000324364,7.043434e-8,0.002450746,0.0006683875,0.004230614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3224727,"threshold_uncertainty_score":0.9965627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04289258725603524,"score_gpt":0.2756379218872625,"score_spread":0.2327453346312273,"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."}}