{"id":"W6893408650","doi":"10.5281/zenodo.15603580","title":"Plukenetia brachybotrya Mull. Arg., Linnaea","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Canadian Museum of Nature","funders":"","keywords":"Holotype; Herbarium; Nomenclature; Head (geology)","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":[0.00009792938,0.0007527113,0.0004970564,0.002030948,0.00203262,0.0005985686,0.0007155784,0.0006274825,0.03586339],"category_scores_gemma":[0.0003341081,0.0003891602,0.0002985741,0.00126625,0.0003721478,0.001341907,0.001143255,0.0006596743,0.01512865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001841932,"about_ca_system_score_gemma":0.0003767205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01316557,"about_ca_topic_score_gemma":0.03171851,"domain_scores_codex":[0.9998512,0.0000124821,0.00001134945,0.00006642885,0.00003073527,0.00002774591],"domain_scores_gemma":[0.9999143,0.00001490577,0.00002784763,0.00000784458,0.00002307857,0.00001196437],"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":[0.000348292,0.00009456157,0.009715962,0.001463775,0.00006975878,0.0009775053,0.002571637,0.0003866748,0.05979352,0.007049491,0.03173258,0.8857962],"study_design_scores_gemma":[0.0000560142,0.0002459575,0.129354,0.0005120623,0.00009302679,0.002400519,0.0009537741,0.0001924568,0.003363579,0.001562467,0.8612292,0.00003686898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1765871,0.04755461,0.009266577,0.00132569,0.0007883015,0.001147412,0.009312077,0.002747128,0.7512711],"genre_scores_gemma":[0.7145296,0.01132917,0.006674203,0.0009308713,0.0001820001,0.0008751689,0.007427158,0.0004562875,0.2575954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03586339,"threshold_uncertainty_score":0.119975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05367652727542329,"score_gpt":0.2159479396345241,"score_spread":0.1622714123591008,"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."}}