{"id":"W6887245991","doi":"10.15468/dl.vsvbd5","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; Matching (statistics); Range (aeronautics); Species name; Code (set theory)","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":[0.001060443,0.002101133,0.001709598,0.005912975,0.0009245732,0.002502495,0.002875438,0.002006332,0.1666436],"category_scores_gemma":[0.006097296,0.0009675532,0.001164116,0.01100001,0.0004531652,0.002304059,0.002660684,0.002010375,0.2395118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169737,"about_ca_system_score_gemma":0.002440003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02049594,"about_ca_topic_score_gemma":0.03563242,"domain_scores_codex":[0.9988014,0.0001623002,0.00015899,0.0004058236,0.0002772332,0.0001943703],"domain_scores_gemma":[0.9971465,0.0007307503,0.0002791897,0.0007848195,0.0007092461,0.0003493948],"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":[0.00003032036,0.00001080088,0.0003181029,0.0004922886,0.00001455649,0.00001301995,0.00001959563,0.0001139422,0.0001170703,0.0003404679,0.9971358,0.001394149],"study_design_scores_gemma":[0.00007125496,0.000008460037,0.001843865,0.0001677392,0.0000142255,0.0000342878,0.00005971828,0.0001378115,0.0002048249,0.000696483,0.9967436,0.00001768741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000364616,0.0000233731,0.00003653622,0.00002873444,0.000009128709,0.00000514669,0.9989465,0.0003409536,0.0005731236],"genre_scores_gemma":[0.0001298829,0.00002716956,0.0001614207,0.00003395508,0.000002873408,0.00003599714,0.9990849,0.0001222455,0.0004014678],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8333564,"threshold_uncertainty_score":0.5574784,"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."}}