{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001172316,0.0004938556,0.0002963179,0.0010228,0.0008279955,0.0004591093,0.000388714,0.0007055966,0.01132592],"category_scores_gemma":[0.00024136,0.0001814935,0.000196074,0.0005774111,0.000422184,0.0005933795,0.0006458745,0.0006074113,0.002905588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007752107,"about_ca_system_score_gemma":0.0003700995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01602257,"about_ca_topic_score_gemma":0.02632646,"domain_scores_codex":[0.999895,0.00001365302,0.000005786579,0.00002932632,0.00003301907,0.0000231757],"domain_scores_gemma":[0.9999262,0.00001704805,0.00002424242,0.00000464342,0.00001597607,0.00001197284],"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":[0.0004314651,0.0001582103,0.01151623,0.001201213,0.00002950297,0.004148698,0.001533429,0.0004311019,0.02334686,0.007397466,0.06516307,0.8846427],"study_design_scores_gemma":[0.00007154191,0.0002662565,0.2744582,0.001213931,0.00004956636,0.01274224,0.0009698049,0.0004720483,0.002052351,0.00123969,0.7064191,0.00004544138],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1344362,0.08189408,0.002521781,0.004734612,0.001647991,0.0005425974,0.001566921,0.0002353756,0.7724205],"genre_scores_gemma":[0.8487247,0.03429434,0.008352197,0.002873111,0.001582495,0.0002619569,0.001910646,0.00004986002,0.1019507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01602257,"threshold_uncertainty_score":0.037889,"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."}}