{"id":"W6924743624","doi":"10.15468/dl.suspr6","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); Set (abstract data type); R package","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":[0.0009962911,0.001963621,0.001558062,0.00480875,0.001035606,0.002445186,0.002901407,0.002028428,0.1483564],"category_scores_gemma":[0.00541447,0.0009337247,0.00117813,0.009539902,0.0004619089,0.002137532,0.002625712,0.002048386,0.2222883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617016,"about_ca_system_score_gemma":0.002320866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02238542,"about_ca_topic_score_gemma":0.03892544,"domain_scores_codex":[0.9990543,0.0001197957,0.0001171761,0.0003371674,0.0002109233,0.0001606803],"domain_scores_gemma":[0.9978049,0.0005749671,0.0002021947,0.0006077831,0.0005450529,0.0002650932],"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":[0.00002804199,0.00001135609,0.0004004583,0.0005103365,0.00001496235,0.00001581868,0.00002996903,0.0001278959,0.0001558779,0.0004450523,0.9967308,0.001529521],"study_design_scores_gemma":[0.00006024132,0.000006785885,0.001785022,0.0001651893,0.00001363909,0.00003623395,0.0000718885,0.000135416,0.0002008743,0.0007282051,0.9967795,0.00001703627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000464773,0.00002607302,0.00005754796,0.00003375979,0.00001225849,0.000005638713,0.9986476,0.0004599628,0.00071068],"genre_scores_gemma":[0.0001560038,0.00002885155,0.0002302866,0.00004138576,0.000002901768,0.00004460598,0.9988662,0.0001829363,0.0004468558],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8516436,"threshold_uncertainty_score":0.4963015,"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."}}