{"id":"W6943164648","doi":"10.15468/dl.uf6uvt","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lithobates; Download; Range (aeronautics); Matching (statistics); Maroon","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":[],"category_scores_codex":[0.001096736,0.002114601,0.001879385,0.005591004,0.001184186,0.003665277,0.003202954,0.00226257,0.2460392],"category_scores_gemma":[0.007897098,0.001005517,0.001632056,0.01002157,0.0004153395,0.003532771,0.003338654,0.002204112,0.3674216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001759944,"about_ca_system_score_gemma":0.002570841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01951281,"about_ca_topic_score_gemma":0.03165921,"domain_scores_codex":[0.998543,0.000182418,0.0001944418,0.0005245613,0.0003146155,0.0002409792],"domain_scores_gemma":[0.996843,0.000794602,0.0002517911,0.0009443554,0.0008224957,0.0003438032],"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":[0.00003920119,0.00001130159,0.000355171,0.0004694726,0.0000143961,0.00001655216,0.00002236069,0.0001116542,0.00009207348,0.0003948412,0.9961189,0.002354054],"study_design_scores_gemma":[0.00005743355,0.000009616123,0.001233621,0.0001520143,0.00001164434,0.0000344778,0.0000709592,0.0001895339,0.0001457412,0.0008451308,0.9972337,0.00001617038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004725827,0.000037005,0.00007600655,0.00006723284,0.00002354475,0.000007829151,0.997549,0.001074543,0.001117648],"genre_scores_gemma":[0.0001855296,0.00004735836,0.0003144428,0.00008299801,0.000006628013,0.00004397905,0.9980605,0.000335423,0.0009231046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7539608,"threshold_uncertainty_score":0.8230831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}