{"id":"W2952785225","doi":"10.1101/218776","title":"The unrealized potential of herbaria for global change biology","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Harvard University; National Science Foundation","keywords":"Herbarium; Climate change; Biodiversity; Ecology; Global change; Biology; Data science; Geography; Environmental resource management; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01470772,0.0005324662,0.0006451129,0.00157981,0.001513041,0.00474617,0.001400016,0.001635279,0.01133041],"category_scores_gemma":[0.02474512,0.0003440816,0.0004505103,0.002086918,0.004798358,0.00804802,0.003289641,0.00259093,0.001872754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587464,"about_ca_system_score_gemma":0.001936284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003965068,"about_ca_topic_score_gemma":0.005286745,"domain_scores_codex":[0.9965453,0.001802662,0.0001039248,0.0006263898,0.000712309,0.0002094159],"domain_scores_gemma":[0.9579914,0.01937318,0.002845561,0.01128718,0.005817724,0.002685029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005023835,0.0001218513,0.1022488,0.001756666,0.0003616001,0.0003299736,0.003073634,0.003793624,0.01108578,0.1347138,0.0755863,0.6664256],"study_design_scores_gemma":[0.00003339476,0.0001839111,0.1574159,0.001654993,0.0001598119,0.0004051239,0.004805197,0.003117661,0.004903014,0.2297036,0.5975085,0.0001088259],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.308362,0.1164834,0.07935321,0.3412188,0.006271838,0.0002062942,0.02495147,0.002324515,0.1208285],"genre_scores_gemma":[0.8824765,0.0227799,0.06482454,0.01352069,0.003925002,0.0002573251,0.004536322,0.0004030909,0.007276682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01470772,"threshold_uncertainty_score":0.07778275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03492746083462551,"score_gpt":0.2688925184324499,"score_spread":0.2339650575978244,"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."}}