{"id":"W6887115228","doi":"10.15468/dl.tvy9s5","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); Data set","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":[0.0009824642,0.00196196,0.00162557,0.005237629,0.0009679188,0.00255539,0.00275449,0.002017854,0.1585751],"category_scores_gemma":[0.00563516,0.0009296502,0.001135367,0.01024696,0.0004547057,0.002311167,0.002534782,0.001979044,0.2175783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526581,"about_ca_system_score_gemma":0.002248609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02030692,"about_ca_topic_score_gemma":0.03514807,"domain_scores_codex":[0.9989946,0.0001382165,0.0001295567,0.0003534264,0.0002181536,0.0001659719],"domain_scores_gemma":[0.9976145,0.0006687559,0.0002400428,0.0006292046,0.0005628214,0.0002846468],"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":[0.00002861107,0.00001163845,0.0003949433,0.000564689,0.00001518112,0.00001571557,0.0000252211,0.000126128,0.0001157765,0.000382621,0.9969671,0.00135233],"study_design_scores_gemma":[0.00007550425,0.000007895254,0.001940058,0.0001897053,0.00001395765,0.00003775592,0.00007684474,0.000134531,0.000175674,0.0007738505,0.9965564,0.00001774644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004176394,0.00002596266,0.0000413945,0.00003171155,0.00001077874,0.000004889342,0.9989152,0.000327635,0.0006006336],"genre_scores_gemma":[0.0001639307,0.00003299593,0.0001914825,0.00004196809,0.000003439074,0.00004127702,0.9989333,0.0001378572,0.0004537559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8414248,"threshold_uncertainty_score":0.5304867,"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."}}