{"id":"W6887079516","doi":"10.15468/dl.ms99fk","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; Lithobates; Matching (statistics); 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":[0.0008701709,0.002024636,0.001605587,0.005033827,0.001001474,0.002686479,0.00279678,0.001945773,0.1610841],"category_scores_gemma":[0.005848896,0.0009018093,0.001240652,0.009901359,0.0004434029,0.00249449,0.002671673,0.002006749,0.2355645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739532,"about_ca_system_score_gemma":0.002461059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02640984,"about_ca_topic_score_gemma":0.04382785,"domain_scores_codex":[0.9990175,0.0001251458,0.0001168348,0.0003557168,0.0002188356,0.0001659222],"domain_scores_gemma":[0.9977425,0.0006367839,0.0002046149,0.0005782621,0.0005797751,0.0002579933],"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":[0.00002706619,0.00001012282,0.0003915543,0.000543446,0.00001509482,0.00001482442,0.0000245083,0.0001371,0.0001061633,0.0003850771,0.9968116,0.001533548],"study_design_scores_gemma":[0.00006411198,0.000007650448,0.001738201,0.000187487,0.00001440124,0.00003599921,0.00007613441,0.0001728102,0.0001764168,0.0007900244,0.9967193,0.00001734587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004030476,0.0000303857,0.0000457518,0.00003695365,0.00001230415,0.000004862709,0.9987006,0.0004641601,0.0006646827],"genre_scores_gemma":[0.000156462,0.00003742029,0.0001997334,0.00004395912,0.00000353509,0.00003613789,0.9988505,0.0001704415,0.0005019101],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8389159,"threshold_uncertainty_score":0.5388799,"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."}}