{"id":"W6931377624","doi":"10.5281/zenodo.6273272","title":"Epigamia magna Berkeley 1923, comb. n.","year":2004,"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":"","funders":"","keywords":"Dorsum; Holotype; GenBank; Orange (colour); Sequence (biology)","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":[0.0001489898,0.000762928,0.0003905413,0.002848936,0.001676791,0.000471995,0.0006107201,0.0003547964,0.02439369],"category_scores_gemma":[0.0003694142,0.0003853423,0.0002070864,0.001348913,0.0009121964,0.0008768506,0.0008870491,0.0006551651,0.006633677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119459,"about_ca_system_score_gemma":0.0005344939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03325727,"about_ca_topic_score_gemma":0.06481576,"domain_scores_codex":[0.9998385,0.00001342641,0.000009749605,0.00005632587,0.00005696178,0.00002503396],"domain_scores_gemma":[0.9998342,0.00003209491,0.00004758235,0.00001532326,0.00004930871,0.0000214968],"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":[0.0003379215,0.00005659823,0.01888836,0.0004825591,0.00005320392,0.0005366146,0.001547944,0.0002612844,0.005749951,0.006371751,0.1061386,0.8595753],"study_design_scores_gemma":[0.00006845786,0.00006566153,0.2723303,0.0002362901,0.00006381108,0.002336254,0.0005955626,0.0001567928,0.0004727184,0.001203713,0.7224389,0.0000314949],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09844334,0.0620364,0.004218806,0.001126479,0.001421038,0.0007107753,0.01118338,0.001233622,0.8196262],"genre_scores_gemma":[0.7879097,0.02346482,0.00859281,0.001861639,0.001415927,0.0005109821,0.008609249,0.000268335,0.1673666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03325727,"threshold_uncertainty_score":0.08160496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504750501400148,"score_gpt":0.2510512319536236,"score_spread":0.2260037269396221,"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."}}