{"id":"W6969258682","doi":"10.5281/zenodo.7621719","title":"Eugenia chinajensis Standley & Steyermark, Publ. Field Columb. Mus., Bot. Ser.","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":"","funders":"","keywords":"Field (mathematics); Testimonial; Checklist; State (computer science)","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":[0.000192054,0.000731225,0.0003649814,0.003141605,0.001415553,0.0005699717,0.0006310369,0.0004562289,0.0418039],"category_scores_gemma":[0.0002509314,0.0002938266,0.0001893677,0.002621018,0.000453187,0.001163901,0.0007199363,0.0005966421,0.009048694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009535899,"about_ca_system_score_gemma":0.0007156569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03697185,"about_ca_topic_score_gemma":0.09589459,"domain_scores_codex":[0.9998857,0.00001031214,0.00001320536,0.00003198802,0.00004137351,0.00001745293],"domain_scores_gemma":[0.9998629,0.00002320802,0.00003691471,0.00001468457,0.00004204738,0.00002012283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002387137,0.00005851258,0.007284784,0.001201751,0.00003158806,0.0009889997,0.001231771,0.0002461731,0.0134779,0.005208046,0.230634,0.7393977],"study_design_scores_gemma":[0.00001990138,0.00004873893,0.05393963,0.0003102679,0.00003487958,0.0008074955,0.0004861429,0.0001003342,0.001130619,0.001038778,0.9420695,0.00001364143],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07652397,0.09568354,0.006254451,0.005938936,0.003560521,0.000934532,0.03319564,0.00118877,0.7767196],"genre_scores_gemma":[0.2615522,0.06306941,0.01188795,0.001995613,0.001733205,0.0007595249,0.03379226,0.0004112267,0.6247986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0418039,"threshold_uncertainty_score":0.139848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03798367730645136,"score_gpt":0.2041690609668889,"score_spread":0.1661853836604376,"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."}}