{"id":"W6962728199","doi":"10.15468/dl.w5gfan","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); Product (mathematics)","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":[0.001009309,0.001907665,0.00149252,0.004776306,0.0009773187,0.002428905,0.00273142,0.002063893,0.1505799],"category_scores_gemma":[0.005982082,0.0008967629,0.001153663,0.009394303,0.0004503911,0.002178556,0.002422578,0.00197063,0.2056302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536734,"about_ca_system_score_gemma":0.002206574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02057167,"about_ca_topic_score_gemma":0.0342719,"domain_scores_codex":[0.9990122,0.0001382571,0.0001229271,0.0003515061,0.0002163819,0.000158666],"domain_scores_gemma":[0.9975349,0.0007320028,0.0002251264,0.0006470665,0.0005868439,0.0002741378],"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":[0.0000287164,0.00001232851,0.0004144564,0.0005443604,0.00001507535,0.00001511362,0.00002504761,0.0001409855,0.0001266357,0.0003738712,0.9968314,0.001471967],"study_design_scores_gemma":[0.00007274912,0.000008450937,0.001973941,0.0001892224,0.00001474533,0.00003755257,0.00007913443,0.0001750152,0.0002037231,0.0007729878,0.9964541,0.00001832332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004656353,0.00002637361,0.00004804703,0.00003508049,0.00001215277,0.000005451021,0.9988359,0.0003793042,0.0006112329],"genre_scores_gemma":[0.0001792321,0.00003181128,0.0002163223,0.00004329512,0.000003333525,0.00004568386,0.9988825,0.0001497906,0.0004480942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8494201,"threshold_uncertainty_score":0.5037398,"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."}}