{"id":"W6905474250","doi":"10.15468/dl.963k6w","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lepomis; Micropterus; Notropis; Hypophthalmichthys; Silver carp; Ictalurus","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008189298,0.002943637,0.002230332,0.006846932,0.001203556,0.003521062,0.002362982,0.002377511,0.31067],"category_scores_gemma":[0.004958395,0.0009095546,0.00197927,0.01002841,0.0003689095,0.002967211,0.003586488,0.002078927,0.4096265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565401,"about_ca_system_score_gemma":0.002372196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02282644,"about_ca_topic_score_gemma":0.03976752,"domain_scores_codex":[0.9987963,0.0001263825,0.0001606863,0.0004333809,0.0002482669,0.000234934],"domain_scores_gemma":[0.9975453,0.0006079441,0.0001906382,0.0006217112,0.0006373007,0.0003971074],"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":[0.00006307659,0.00002084742,0.000413131,0.0006369207,0.00001691471,0.00002564496,0.00002474035,0.0001337293,0.0001461432,0.0004539122,0.9942952,0.003769746],"study_design_scores_gemma":[0.0001072505,0.00001820294,0.001932973,0.0002024305,0.00001828534,0.00005989823,0.00007484487,0.0003980842,0.0001980545,0.001058829,0.9959034,0.00002764042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006426471,0.00005568148,0.0001037,0.00005738231,0.00002909947,0.00001093742,0.9961682,0.001699309,0.001811421],"genre_scores_gemma":[0.0002378856,0.0000638351,0.000477625,0.00009732669,0.000008975741,0.0000418936,0.9975502,0.0003427618,0.001179526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.68933,"threshold_uncertainty_score":0.9832456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}