{"id":"W6962404524","doi":"10.15468/dl.wggm5z","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":"Download; Matching (statistics); Lithobates; Range (aeronautics)","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":[0.0007332954,0.002617371,0.001966982,0.005393079,0.001420362,0.003892295,0.00298517,0.002643857,0.2885399],"category_scores_gemma":[0.006611083,0.0009536166,0.001867115,0.009368406,0.0004066291,0.004425602,0.00350579,0.00238371,0.4464726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661331,"about_ca_system_score_gemma":0.002277054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02014885,"about_ca_topic_score_gemma":0.04007942,"domain_scores_codex":[0.9986941,0.0001508279,0.0001630025,0.0004798442,0.0002986786,0.0002135663],"domain_scores_gemma":[0.997402,0.0006092623,0.0001732799,0.0006484003,0.0008494149,0.0003177936],"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":[0.00003480757,0.00001078151,0.0002844453,0.0004452795,0.00001082099,0.00001886938,0.00001845625,0.00009532659,0.0000822735,0.0003551139,0.995748,0.002895846],"study_design_scores_gemma":[0.00004626371,0.00001036943,0.0009927945,0.0001471927,0.00001122855,0.00004750644,0.00007473078,0.0002691687,0.0001466891,0.001135394,0.9971002,0.00001841033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008266806,0.000109517,0.0001940051,0.0001076859,0.00005138511,0.00001342622,0.9936227,0.002516242,0.003302366],"genre_scores_gemma":[0.000332136,0.00009293685,0.0005814192,0.0001255419,0.00001466859,0.00004661149,0.9964444,0.0005914955,0.00177076],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7114601,"threshold_uncertainty_score":0.9652622,"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."}}