{"id":"W6887096674","doi":"10.15468/dl.ny7bk7","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); State (computer science); Set (abstract data type)","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":[0.0009971211,0.00212559,0.001617722,0.004780864,0.001032128,0.002495758,0.002924697,0.002104219,0.1400689],"category_scores_gemma":[0.005881543,0.0009677459,0.001216894,0.009758238,0.0004736026,0.002272843,0.002594766,0.002117714,0.1987348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001749556,"about_ca_system_score_gemma":0.00247648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02572839,"about_ca_topic_score_gemma":0.04048096,"domain_scores_codex":[0.9989919,0.0001324841,0.0001323139,0.0003458806,0.0002300133,0.0001674685],"domain_scores_gemma":[0.9976887,0.0006573118,0.0002174087,0.0006151961,0.0005523904,0.0002690324],"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":[0.00003189058,0.00001196974,0.0003950446,0.000562003,0.00001576757,0.00001789,0.00002890191,0.0001487747,0.0001417824,0.0004316852,0.996783,0.00143124],"study_design_scores_gemma":[0.00007309642,0.000007887685,0.001784331,0.0001786731,0.00001427826,0.00004102888,0.00007739422,0.0001721081,0.0002130995,0.000753895,0.9966659,0.00001831596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004563813,0.00002551074,0.00005210155,0.00003448655,0.00001150085,0.000005399843,0.9987565,0.000457536,0.0006112345],"genre_scores_gemma":[0.0001600604,0.00003101894,0.0002106212,0.00004009516,0.000002734655,0.0000398878,0.9989624,0.0001632958,0.0003899161],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8599311,"threshold_uncertainty_score":0.4685773,"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."}}