{"id":"W6906215614","doi":"10.15468/dl.v6zyvf","title":"Occurrence Download","year":2023,"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); Range (aeronautics); Confidentiality; Information privacy","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":[0.0009123695,0.001992853,0.001618346,0.004886528,0.001082711,0.002931108,0.003015058,0.002118279,0.179925],"category_scores_gemma":[0.006209999,0.0009806163,0.001214599,0.01035631,0.0004488968,0.002610525,0.002735606,0.002181693,0.259667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001769328,"about_ca_system_score_gemma":0.002499426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02436392,"about_ca_topic_score_gemma":0.0398089,"domain_scores_codex":[0.9989581,0.0001325785,0.0001286257,0.0003617946,0.0002426902,0.0001761727],"domain_scores_gemma":[0.9976682,0.0006306977,0.000194772,0.0006042978,0.0006424524,0.0002594946],"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":[0.00002485686,0.000009300777,0.0002968724,0.0004726386,0.00001232068,0.00001249622,0.00002113231,0.0001022899,0.00008690738,0.0003646522,0.9971796,0.001416903],"study_design_scores_gemma":[0.00005718052,0.00000581646,0.001273252,0.0001694093,0.0000114967,0.0000316201,0.00006864994,0.0001300514,0.0001548436,0.0007619106,0.9973205,0.00001528892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003466536,0.00002916503,0.00004950197,0.00003990423,0.000012534,0.000005170985,0.9985535,0.0004667613,0.0008088378],"genre_scores_gemma":[0.0001596286,0.00004027726,0.0002317271,0.00005060894,0.000003638919,0.00004186344,0.998682,0.0002059251,0.0005843571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.820075,"threshold_uncertainty_score":0.601909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}