{"id":"W6967928194","doi":"10.5281/zenodo.13976737","title":"Linked collectors and determiners for: University of British Columbia Botanical Garden Collections (UBCBG).","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Botanical garden; Citizen science; Biodiversity; Natural (archaeology); Natural history; Columbia university","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":[0.001861148,0.001597709,0.002145112,0.005606635,0.002367485,0.00362908,0.003444598,0.001561435,0.150938],"category_scores_gemma":[0.01013536,0.001167681,0.0006579865,0.01354234,0.0007853298,0.001589977,0.002495239,0.002762378,0.1291396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008474515,"about_ca_system_score_gemma":0.01450643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4159343,"about_ca_topic_score_gemma":0.6380981,"domain_scores_codex":[0.9981843,0.0001509516,0.0001631612,0.0005280597,0.0006627116,0.0003109291],"domain_scores_gemma":[0.9914488,0.001150812,0.0005723944,0.001892194,0.003996171,0.0009396888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001395076,0.000003922034,0.0003032853,0.0001903939,0.000007431493,0.000005587513,0.00001939058,0.00005527414,0.00006094821,0.0003818254,0.9976779,0.001280193],"study_design_scores_gemma":[0.00003940819,0.000001717231,0.002398999,0.0002170047,0.00001007551,0.00001099515,0.00005727683,0.00007874955,0.0001905084,0.000613736,0.9963617,0.00001983345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003715449,0.00002369839,0.00006068617,0.00002492677,0.00001380788,0.000008985028,0.9987032,0.0001681998,0.000959252],"genre_scores_gemma":[0.0002433932,0.00004415233,0.0004280063,0.00003135432,0.000003969218,0.00009821235,0.9969203,0.0002090981,0.002021621],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4159343,"threshold_uncertainty_score":0.8270266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117974000973221,"score_gpt":0.2259619890593081,"score_spread":0.2047822490495759,"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."}}