{"id":"W4396606689","doi":"10.1101/2024.04.30.591852","title":"Beyond a diagnostic tool: Validating standardized Mahalanobis distance as a species distribution model for invasive alien species in North America","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Mahalanobis distance; Alien; Alien species; Distribution (mathematics); Geography; Invasive species; Ecology; Species distribution; Biology; Artificial intelligence; Computer science; Medicine; Mathematics; Environmental health","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":[0.008803912,0.0007623782,0.0004820569,0.00128748,0.0005277379,0.001089794,0.001488583,0.0006230093,0.0008649481],"category_scores_gemma":[0.02913741,0.0002779814,0.0007606872,0.0009226868,0.0005686258,0.001087238,0.001019033,0.0008406114,0.0001906899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592244,"about_ca_system_score_gemma":0.002002717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07670857,"about_ca_topic_score_gemma":0.0644499,"domain_scores_codex":[0.9971582,0.001740392,0.0001883056,0.0004716109,0.0003418442,0.00009965219],"domain_scores_gemma":[0.9800785,0.01456789,0.001210004,0.001131825,0.002725438,0.000286442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000268091,0.0004423737,0.1874817,0.0001168314,0.0003157503,0.00009017793,0.0003052352,0.7597381,0.002056157,0.002729646,0.001611952,0.04484393],"study_design_scores_gemma":[0.00001084174,0.00005502566,0.007788124,0.000007226619,0.000005798765,0.000008295851,0.0000627043,0.9909298,0.0004724921,0.0004881589,0.0001613184,0.00001031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8967607,0.00008012013,0.1003058,0.0001979115,0.00002652559,0.0001199487,0.0006652785,0.0007832601,0.00106046],"genre_scores_gemma":[0.955905,0.00002136793,0.04301776,0.00004076213,0.000006647949,0.00007989184,0.0007092099,0.00004397847,0.0001755085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07670857,"threshold_uncertainty_score":0.1525241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075656440801236,"score_gpt":0.2091476861535886,"score_spread":0.1983911217455762,"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."}}