{"id":"W4285464685","doi":"10.32920/ryerson.14665524","title":"Spatial analysis of two aquatic invaders in Adirondack Lakes: a modelling approach for environmental management","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University; York University","funders":"","keywords":"Myriophyllum; Potamogeton crispus; Invasive species; Logistic regression; Habitat; Regression analysis; Ordinary least squares; Ecology; Aquatic plant; Geography; Biology; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005120326,0.0004104887,0.0002395959,0.001096126,0.0004429817,0.001038692,0.0007654228,0.0003590158,0.0009696097],"category_scores_gemma":[0.001347881,0.0002763723,0.0005636456,0.0009101865,0.0003375339,0.0004616611,0.0007178744,0.0003406134,0.00009776657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507782,"about_ca_system_score_gemma":0.0008943868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1415426,"about_ca_topic_score_gemma":0.1662286,"domain_scores_codex":[0.9998685,0.0000599677,0.000006139234,0.00003409029,0.00001428563,0.0000168977],"domain_scores_gemma":[0.9995071,0.0002985997,0.00007552304,0.00002333792,0.00006662197,0.00002886177],"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":[0.00008214219,0.0001360543,0.2384374,0.00006609677,0.0001834346,0.0002643253,0.00064249,0.739951,0.001376634,0.003281712,0.0006897311,0.01488886],"study_design_scores_gemma":[0.000003366858,0.00002230915,0.03766599,0.000007987448,0.00002158994,0.00002460242,0.0003160151,0.9608356,0.0001233515,0.0006476674,0.0003223761,0.000009064423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889148,0.0001118234,0.009357338,0.0001272303,0.000003534289,0.00002155026,0.0003066808,0.00006531789,0.001091802],"genre_scores_gemma":[0.988413,0.0001180137,0.01019677,0.00001016243,0.000003741821,0.00004126397,0.0003575652,0.00001344157,0.0008460045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1415426,"threshold_uncertainty_score":0.2814375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162059624786283,"score_gpt":0.2246070076672477,"score_spread":0.2029864114193849,"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."}}