{"id":"W6962450203","doi":"10.15468/dl.u96kfz","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); 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":[0.0009851777,0.00201414,0.001540778,0.004939841,0.001002859,0.002408053,0.002893871,0.002041349,0.1524747],"category_scores_gemma":[0.00539783,0.0009105813,0.001156523,0.009627453,0.0004625127,0.002232758,0.002446889,0.001987031,0.2152294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547829,"about_ca_system_score_gemma":0.002212463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02074532,"about_ca_topic_score_gemma":0.03469338,"domain_scores_codex":[0.9990562,0.0001282962,0.0001128717,0.0003400587,0.000204683,0.0001578351],"domain_scores_gemma":[0.9977805,0.0006169991,0.0002085212,0.0006037832,0.0005291296,0.0002610344],"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":[0.00002870751,0.00001199546,0.0003840303,0.0005240213,0.00001471002,0.00001480527,0.00002469619,0.0001390072,0.0001349755,0.0003725933,0.9968411,0.001509305],"study_design_scores_gemma":[0.00006828456,0.000007989942,0.00180883,0.0001730692,0.00001398352,0.00003623313,0.00007354144,0.0001537449,0.0002037469,0.0007311563,0.9967121,0.00001728013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005114571,0.00002979021,0.00005054908,0.00003495313,0.00001306037,0.000005580891,0.9987028,0.0004146852,0.0006974129],"genre_scores_gemma":[0.0001712059,0.0000325388,0.0002114272,0.00004178511,0.000003354454,0.00004368664,0.9988689,0.000155602,0.0004713597],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8475252,"threshold_uncertainty_score":0.5100788,"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."}}