{"id":"W4380319188","doi":"10.1038/s41562-023-01616-7","title":"The colonial legacy of herbaria","year":2023,"lang":"en","type":"article","venue":"Nature Human Behaviour","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Akademie Věd České Republiky; U.S. Forest Service; NERC Environmental Bioinformatics Centre","keywords":"Herbarium; Colonialism; Diversity (politics); Geography; Representation (politics); Flora (microbiology); Ethnology; History; Ecology; Archaeology; Anthropology; Political science; Sociology; Biology; Law; Politics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005840926,0.00007098731,0.0001167019,0.0006042781,0.003096383,0.001431243,0.0002651163,0.000303827,0.008041761],"category_scores_gemma":[0.002565071,0.000119746,0.00005152784,0.00071774,0.00526389,0.001202792,0.001269361,0.001306628,0.0002733636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002463322,"about_ca_system_score_gemma":0.001084871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0506237,"about_ca_topic_score_gemma":0.2051551,"domain_scores_codex":[0.9996582,0.000102451,0.000008502459,0.0000601322,0.00004513725,0.0001255855],"domain_scores_gemma":[0.998383,0.0003657701,0.0003641355,0.0002081362,0.0002063769,0.000472478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003984419,0.0002452275,0.2071632,0.0001800274,0.0001063966,0.001827934,0.09071223,0.0006201342,0.008350116,0.3475268,0.0206481,0.3222215],"study_design_scores_gemma":[0.00001391717,0.00005969061,0.5963481,0.0001832682,0.00002299918,0.0007096684,0.013924,0.0003846253,0.0005647706,0.01539109,0.3723666,0.00003116196],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8392563,0.002027447,0.0005319211,0.009501515,0.00009548732,0.000009457682,0.0001391559,0.00001831007,0.1484204],"genre_scores_gemma":[0.9958514,0.0003810195,0.0001012653,0.0003029678,0.00003885139,0.000001275743,0.00001312255,0.000006246023,0.003303793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9969036,"threshold_uncertainty_score":0.1006581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01933800795277704,"score_gpt":0.2955967014124836,"score_spread":0.2762586934597066,"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."}}