{"id":"W6905619929","doi":"10.15468/dl.n6f75j","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); Alien; 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":[0.001017509,0.001935487,0.00156526,0.005131304,0.001069721,0.002649256,0.002775432,0.002153259,0.1570589],"category_scores_gemma":[0.006107743,0.0008735037,0.001297548,0.009879198,0.0004692987,0.002422163,0.002653555,0.002003222,0.2301985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016,"about_ca_system_score_gemma":0.002434317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02351354,"about_ca_topic_score_gemma":0.03792161,"domain_scores_codex":[0.9988921,0.0001586439,0.00013875,0.0003858451,0.000242579,0.0001820906],"domain_scores_gemma":[0.9973059,0.0007809484,0.0002286991,0.0007226547,0.0006782629,0.000283487],"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":[0.00002787651,0.00001256351,0.0003982445,0.0005380173,0.00001368257,0.00001569147,0.00002597133,0.0001102934,0.0001148407,0.0003557191,0.9968959,0.001491112],"study_design_scores_gemma":[0.00006255718,0.000008719185,0.001966443,0.0002023754,0.00001383254,0.00003769104,0.00008930821,0.0001410244,0.0001882842,0.0007036391,0.9965684,0.00001752104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004904212,0.00002965039,0.00004624782,0.00004095505,0.00001386366,0.000006141526,0.9987082,0.0004068731,0.0006990208],"genre_scores_gemma":[0.0001694128,0.00003513345,0.0002009174,0.00004696091,0.000003853831,0.00004402357,0.9988441,0.0001440485,0.0005114678],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8429412,"threshold_uncertainty_score":0.5254142,"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."}}