{"id":"W6943511964","doi":"10.15468/dl.z2m49t","title":"Occurrence Download","year":2022,"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); Set (abstract data type); Order (exchange)","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":[0.001110554,0.002002224,0.001644561,0.005074003,0.00109077,0.002716238,0.002961913,0.002107552,0.1624553],"category_scores_gemma":[0.006522052,0.0009649984,0.00116688,0.009948571,0.0004614338,0.002383827,0.00262528,0.00209292,0.2297363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001685525,"about_ca_system_score_gemma":0.002474297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02373998,"about_ca_topic_score_gemma":0.03849364,"domain_scores_codex":[0.9988727,0.0001496634,0.0001410106,0.0003934514,0.0002628693,0.0001802192],"domain_scores_gemma":[0.997372,0.000747616,0.0002410092,0.0006850677,0.0006610344,0.0002931721],"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":[0.0000275014,0.00001068524,0.0003569788,0.0005065929,0.00001427753,0.00001466663,0.00002452254,0.0001139112,0.0001209346,0.0003964995,0.9970714,0.001342113],"study_design_scores_gemma":[0.00006267756,0.000006845769,0.001729036,0.0001758934,0.00001353033,0.00003438039,0.00006910331,0.0001335957,0.0001868408,0.0007218283,0.9968488,0.00001740935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000379689,0.00002453087,0.00004817466,0.00003410314,0.00001131056,0.000004862295,0.9987852,0.0003865367,0.000667286],"genre_scores_gemma":[0.000148766,0.00003025104,0.0002004605,0.00004063202,0.000003088641,0.00004049457,0.998907,0.000167034,0.0004623299],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8375447,"threshold_uncertainty_score":0.543467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}