{"id":"W6948636205","doi":"10.5066/p9hs0zkb","title":"County-Level Geographic Distributions for 47 Exotic Plant Species in Midwest USA and Central Canada, Compiled 2019","year":2021,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Geographic information system; Range (aeronautics); Plant species; Habitat; State (computer science)","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":[0.000399032,0.0008676032,0.0007801062,0.0044831,0.001628047,0.001661694,0.001457952,0.0005119194,0.01530985],"category_scores_gemma":[0.003064824,0.0004935363,0.0006268385,0.01479733,0.0003167765,0.0005567964,0.0009792332,0.0009256639,0.007771423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0103585,"about_ca_system_score_gemma":0.02302707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9784982,"about_ca_topic_score_gemma":0.9881669,"domain_scores_codex":[0.999442,0.00002068765,0.00004623248,0.000144392,0.0001893977,0.0001572253],"domain_scores_gemma":[0.997442,0.0001591318,0.0001877659,0.0001594738,0.001827332,0.0002243388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008322737,0.0000288,0.03947699,0.0007052062,0.0001381534,0.00009761598,0.0002606556,0.0009156754,0.0001853596,0.001137299,0.9488294,0.008141724],"study_design_scores_gemma":[0.0001292918,0.00001044919,0.2624022,0.0007414728,0.0001293612,0.0001236522,0.0008962957,0.0009921046,0.0004211104,0.0005927536,0.733504,0.00005722054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001857956,0.0001209379,0.00004174688,0.00003811053,0.000007549726,0.000007595671,0.9967718,0.0000409463,0.001113407],"genre_scores_gemma":[0.006317137,0.0002588912,0.0003033316,0.00005086206,0.000004514755,0.00004724941,0.991107,0.00002687742,0.001884208],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02150184,"threshold_uncertainty_score":0.07515651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03205637557431604,"score_gpt":0.2070330127673418,"score_spread":0.1749766371930258,"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."}}