{"id":"W7161822117","doi":"10.82308/43290","title":"The biogeography and conservation of useful plant species of Canada and beyond","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Biodiversity conservation; Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002519887,0.0002316826,0.0002534965,0.002022758,0.002265307,0.002101403,0.0005847307,0.0002907122,0.002876284],"category_scores_gemma":[0.0009096347,0.0001605149,0.0002998727,0.003344084,0.001128062,0.0007354526,0.0007057132,0.0003283031,0.0001368672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04279037,"about_ca_system_score_gemma":0.03994786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963683,"about_ca_topic_score_gemma":0.9985007,"domain_scores_codex":[0.9997641,0.00002012145,0.000006347663,0.00004824355,0.00006831322,0.00009288816],"domain_scores_gemma":[0.9994735,0.00004818089,0.00006636386,0.00002184661,0.0002503539,0.0001398184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002281432,0.00004094331,0.6726077,0.0006280741,0.0002617344,0.0006709396,0.006944854,0.01462137,0.00917346,0.06540595,0.01098036,0.2184364],"study_design_scores_gemma":[0.000008047488,0.00001841488,0.9349208,0.0002251218,0.00005937223,0.0001727604,0.003706677,0.006245773,0.000495746,0.004068159,0.05003195,0.00004722231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9242707,0.01053366,0.00194543,0.003841295,0.0000366119,0.00004464815,0.005491738,0.00009876713,0.05373711],"genre_scores_gemma":[0.98761,0.003027336,0.001305713,0.0001548793,0.000004521777,0.000007773985,0.0005850167,0.00002004141,0.007284734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04279037,"threshold_uncertainty_score":0.3104673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133189556196103,"score_gpt":0.1986609683078773,"score_spread":0.1873290727459163,"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."}}