{"id":"W6905710755","doi":"10.15468/dl.nsek9t","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); Variety (cybernetics); 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":[0.001030556,0.001996284,0.001584997,0.005535637,0.0009775236,0.002669555,0.002775947,0.001882529,0.1648086],"category_scores_gemma":[0.006131454,0.0008982787,0.001196778,0.01094653,0.000458637,0.002267796,0.002751698,0.001922058,0.2416941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647345,"about_ca_system_score_gemma":0.002669651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02598461,"about_ca_topic_score_gemma":0.04364779,"domain_scores_codex":[0.9989034,0.000145269,0.0001448489,0.0003615106,0.0002523903,0.0001925282],"domain_scores_gemma":[0.9973058,0.0006960121,0.0002526712,0.0007147777,0.0007065494,0.0003242074],"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":[0.00002919237,0.000009816527,0.0003363705,0.0005267125,0.00001444179,0.00001327567,0.00002188859,0.00010106,0.000112222,0.0003558971,0.9970885,0.001390737],"study_design_scores_gemma":[0.00006115852,0.000007227539,0.001691052,0.000183928,0.00001353005,0.00003231682,0.00006153352,0.0001048939,0.0001749909,0.0006769508,0.996976,0.00001626502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000350415,0.00002569859,0.00003554176,0.0000293577,0.00001028074,0.000004792412,0.998889,0.000331526,0.000638783],"genre_scores_gemma":[0.0001344978,0.0000327594,0.0001601188,0.00004110061,0.000003252863,0.00003458663,0.9990067,0.0001383787,0.0004485091],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8351914,"threshold_uncertainty_score":0.5513398,"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."}}