{"id":"W6924558080","doi":"10.15468/dl.t9tq2k","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); Order (exchange); State (computer science)","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":[0.001144375,0.002011633,0.001679919,0.005123557,0.00105747,0.002799975,0.003027123,0.002181099,0.1641941],"category_scores_gemma":[0.006574899,0.00099232,0.001175421,0.009982109,0.0004842759,0.002463724,0.002662703,0.002133681,0.2315969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704452,"about_ca_system_score_gemma":0.00250744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02219738,"about_ca_topic_score_gemma":0.03605871,"domain_scores_codex":[0.9988319,0.0001571476,0.0001559825,0.0004073445,0.000264387,0.0001833188],"domain_scores_gemma":[0.9972546,0.0007915013,0.0002607008,0.0007223735,0.0006558526,0.0003149875],"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":[0.00002691568,0.00001082421,0.0003369361,0.0005100754,0.00001419989,0.00001433147,0.00002247907,0.0001152367,0.0001128481,0.0003793032,0.997197,0.001259827],"study_design_scores_gemma":[0.00006991218,0.000007400289,0.001684468,0.00018768,0.00001398252,0.00003668494,0.00006927642,0.0001398155,0.0001790919,0.0007437189,0.9968503,0.00001769419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003439988,0.00002392611,0.00004384373,0.00003460577,0.00001140218,0.00000475419,0.9989238,0.0003420444,0.0005811838],"genre_scores_gemma":[0.0001421512,0.00003130418,0.0001861501,0.00004309981,0.00000321487,0.00003892158,0.9989815,0.0001442271,0.0004293843],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.835806,"threshold_uncertainty_score":0.5492839,"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."}}