{"id":"W6905624466","doi":"10.15468/dl.868da9","title":"Occurrence Download","year":2024,"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); 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":[0.001040992,0.001870097,0.001656903,0.005401559,0.0009501826,0.002470929,0.002751634,0.001976551,0.1608707],"category_scores_gemma":[0.006521434,0.0009033164,0.001169038,0.01064975,0.0004434773,0.002197439,0.00247377,0.001925535,0.2088122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531885,"about_ca_system_score_gemma":0.002318519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01968456,"about_ca_topic_score_gemma":0.03214096,"domain_scores_codex":[0.9989022,0.0001532624,0.0001509383,0.0003725201,0.0002414404,0.0001795565],"domain_scores_gemma":[0.9972951,0.0007907831,0.0002580801,0.0006777722,0.000677222,0.0003011326],"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":[0.00003244082,0.0000116467,0.0004150782,0.000629525,0.00001701869,0.00001525197,0.00002319569,0.0001338261,0.0001260502,0.0003873961,0.9966981,0.001510523],"study_design_scores_gemma":[0.00008136246,0.000008954828,0.002049304,0.0002165486,0.00001611038,0.00003608771,0.00007008915,0.00013934,0.0001826096,0.0007723145,0.9964092,0.00001800505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003839511,0.00002644377,0.00003671792,0.00003103376,0.00001008392,0.00000491291,0.9990508,0.0002835462,0.0005180795],"genre_scores_gemma":[0.0001577592,0.00003447587,0.0001750959,0.00004142627,0.000003487352,0.00004252413,0.9990129,0.0001197353,0.000412495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8391293,"threshold_uncertainty_score":0.538166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}