{"id":"W2768575744","doi":"10.1002/ecm.1307","title":"The unrealized potential of herbaria for global change biology","year":2018,"lang":"en","type":"article","venue":"Ecological Monographs","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":201,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Herbarium; Climate change; Ecology; Biodiversity; Biology; Global change; Herbivore; Environmental resource management; Geography; Environmental science","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":[0.007566656,0.0003866785,0.0003906836,0.001581846,0.001290535,0.004276421,0.0008924145,0.0009383435,0.01186118],"category_scores_gemma":[0.009394023,0.0002211061,0.0003663255,0.001992508,0.003559413,0.006228938,0.002482415,0.001569952,0.0009992328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153234,"about_ca_system_score_gemma":0.001732377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006467883,"about_ca_topic_score_gemma":0.01301191,"domain_scores_codex":[0.9985089,0.0008319906,0.00004736328,0.0002286991,0.0002490725,0.0001340159],"domain_scores_gemma":[0.9818249,0.009646015,0.001322165,0.00340723,0.00238001,0.001419673],"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":[0.0002865606,0.00008609649,0.09091905,0.001475431,0.0001963374,0.0001933308,0.002474021,0.00224964,0.005026832,0.09316538,0.0436963,0.760231],"study_design_scores_gemma":[0.00002024737,0.0002441305,0.2300594,0.001824393,0.0001488063,0.0003470939,0.006008897,0.001756054,0.002173654,0.09888938,0.6584495,0.00007845932],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2740528,0.2231977,0.02745008,0.2624735,0.003690055,0.0001734518,0.01174285,0.0009637558,0.1962559],"genre_scores_gemma":[0.9123389,0.04509355,0.02213218,0.00902769,0.00258807,0.0001284991,0.00183327,0.0001005797,0.006757291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01186118,"threshold_uncertainty_score":0.04001683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04233888500209863,"score_gpt":0.3002980327185501,"score_spread":0.2579591477164515,"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."}}