{"id":"W2921529380","doi":"10.1002/aps3.1229","title":"Patterns and biases in an Arctic herbarium specimen collection: Implications for phenological research","year":2019,"lang":"en","type":"article","venue":"Applications in Plant Sciences","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Ottawa; Canadian Museum of Nature; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Herbarium; Phenology; Biology; Taxon; Botanical garden; Climate change; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06604254,0.0004468626,0.000369014,0.002379475,0.002647496,0.001904023,0.001691048,0.0004935092,0.00151646],"category_scores_gemma":[0.1029675,0.0003278342,0.0002732518,0.00422948,0.002412075,0.001728338,0.00175582,0.0006211314,0.0003808239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003402236,"about_ca_system_score_gemma":0.006009572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08550188,"about_ca_topic_score_gemma":0.1949713,"domain_scores_codex":[0.9563461,0.02545474,0.004228489,0.004097763,0.008508099,0.001364878],"domain_scores_gemma":[0.8231574,0.0738426,0.06056057,0.01522735,0.02417883,0.003033258],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001084934,0.00003599613,0.9592052,0.0003725823,0.00008662398,0.00007878053,0.004021591,0.0002872527,0.0009699502,0.0006387882,0.00167738,0.03251747],"study_design_scores_gemma":[0.00000487365,0.00006034819,0.9832861,0.0004397986,0.00004383049,0.0002236829,0.006277463,0.000770042,0.001130455,0.0007645263,0.006969763,0.00002910873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503419,0.005194649,0.02293287,0.00656645,0.0005666845,0.0007278428,0.002416258,0.00009102604,0.01116228],"genre_scores_gemma":[0.9687334,0.001267954,0.02529987,0.001885624,0.0002207468,0.0004677976,0.0008705621,0.00006007193,0.001193945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9339575,"threshold_uncertainty_score":0.3492705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2024085735808892,"score_gpt":0.3794825562178133,"score_spread":0.1770739826369241,"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."}}