{"id":"W4312816858","doi":"10.4236/oalib.1109474","title":"Distribution Estimation of Invasive Species Based on Crowdsourcing Reports","year":2022,"lang":"en","type":"article","venue":"OALib","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crowdsourcing; Estimation; Distribution (mathematics); Species distribution; Invasive species; Geography; Citizen science; Ecology; Biology; Computer science; Habitat; Mathematics; Engineering; World Wide Web","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":[0.00158342,0.0008105839,0.0004595332,0.003580192,0.0004854114,0.001224856,0.001481698,0.0005892476,0.001173116],"category_scores_gemma":[0.009786694,0.0003091711,0.0008120954,0.00181139,0.0004824824,0.00160945,0.00107072,0.000652283,0.000674859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320453,"about_ca_system_score_gemma":0.0007773263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03202127,"about_ca_topic_score_gemma":0.01713319,"domain_scores_codex":[0.9987814,0.0002148065,0.00006831907,0.0003811017,0.0004325927,0.0001217684],"domain_scores_gemma":[0.9962167,0.001435113,0.0006903543,0.000432175,0.001028928,0.0001967584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000506965,0.0002746005,0.2690888,0.0003191485,0.0002362081,0.001053463,0.001137423,0.4389588,0.006814045,0.008622115,0.01119761,0.2617908],"study_design_scores_gemma":[0.000009457532,0.00002041437,0.01667106,0.0000167891,0.00002042504,0.00007383655,0.0001868115,0.9773558,0.001527083,0.002562108,0.001529245,0.0000269939],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6402571,0.000715896,0.3388454,0.0009860953,0.0001971346,0.0002958401,0.003606378,0.003008112,0.01208789],"genre_scores_gemma":[0.9701728,0.0001620243,0.02584559,0.0000465347,0.00005251162,0.00007306079,0.001768041,0.00004597458,0.001833465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03202127,"threshold_uncertainty_score":0.06366974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973212377014587,"score_gpt":0.226531514927026,"score_spread":0.2067993911568802,"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."}}