{"id":"W6949947722","doi":"10.5281/zenodo.4372898","title":"Hypericum gentianoides Britton","year":2007,"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":"Type (biology); Hypericum; Taxonomy (biology); Context (archaeology)","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":[0.00005488184,0.0003289695,0.0001207175,0.001075109,0.0006322701,0.0002413064,0.0002778884,0.0001928789,0.005830486],"category_scores_gemma":[0.0001355641,0.0000984206,0.00009271578,0.0005190641,0.0001953347,0.0002789685,0.0005597437,0.0002683398,0.001443388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005659706,"about_ca_system_score_gemma":0.0002268305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01408084,"about_ca_topic_score_gemma":0.05402167,"domain_scores_codex":[0.9999492,0.000007905779,0.000002449671,0.00001359934,0.00001715966,0.000009587821],"domain_scores_gemma":[0.9999512,0.000008773597,0.00000868112,0.000005438162,0.00001506466,0.00001079078],"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":[0.0006158841,0.000134601,0.03024563,0.0005501157,0.00006389001,0.004115383,0.001809141,0.001304551,0.4067704,0.005666985,0.01807262,0.5306508],"study_design_scores_gemma":[0.00008551795,0.0003092721,0.5886999,0.0001824263,0.00009829453,0.005289635,0.001978601,0.001034388,0.02758779,0.002688741,0.371989,0.0000563871],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.720261,0.004501648,0.00172734,0.001100821,0.0002388624,0.0001586718,0.001495451,0.0003627747,0.2701534],"genre_scores_gemma":[0.9576943,0.001120949,0.001292879,0.0005395186,0.0000252008,0.00002418084,0.0006898074,0.00002728395,0.03858582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01408084,"threshold_uncertainty_score":0.02799779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03489944889026819,"score_gpt":0.1988072433710437,"score_spread":0.1639077944807755,"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."}}