{"id":"W2911625535","doi":"10.3897/zookeys.819.27121","title":"Pseudoscorpiones and Scorpiones of Canada","year":2019,"lang":"en","type":"article","venue":"ZooKeys","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Scorpion; Geography; Barcode; Species diversity; Zoology; Ecology; Biology; Global biodiversity; DNA barcoding; Biodiversity; Nearctic ecozone; Taxonomy (biology); Venom; Business","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001212111,0.0003335057,0.0001549386,0.001760754,0.001648813,0.0006161263,0.0003018924,0.0001762549,0.006135832],"category_scores_gemma":[0.0003321426,0.00009134214,0.0001615783,0.001534138,0.0005426658,0.0003767943,0.0004636848,0.0002012928,0.0005936179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004210576,"about_ca_system_score_gemma":0.00694817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9046451,"about_ca_topic_score_gemma":0.9736771,"domain_scores_codex":[0.9997358,0.000008416526,0.00001010582,0.00003938861,0.0001237683,0.00008239984],"domain_scores_gemma":[0.9997453,0.00001166773,0.00003600545,0.000007140003,0.0001450086,0.00005487521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001012237,0.00007115937,0.5403607,0.001142326,0.0001140673,0.002892314,0.007421783,0.0006059747,0.02832964,0.00835715,0.02584689,0.3838458],"study_design_scores_gemma":[0.000006630731,0.00005904622,0.9253767,0.0001312917,0.0000298362,0.001009466,0.003169242,0.0001260769,0.0007968055,0.0002536145,0.0690221,0.00001932943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8283682,0.010581,0.0007644464,0.0006314725,0.0001855947,0.0001786365,0.007729005,0.0001338806,0.1514278],"genre_scores_gemma":[0.9480343,0.006964451,0.001993031,0.0003391969,0.00003118022,0.0000548701,0.004158129,0.00001873496,0.03840606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09535486,"threshold_uncertainty_score":0.1918328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006477277475537437,"score_gpt":0.1242751199623553,"score_spread":0.1177978424868178,"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."}}