{"id":"W6906131215","doi":"10.15468/dl.qcjyq4","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); 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":[0.001173164,0.001938266,0.001677829,0.005155185,0.001037567,0.002799991,0.003015789,0.002045258,0.1698405],"category_scores_gemma":[0.006720385,0.001012761,0.001151657,0.01025621,0.0004689765,0.002385321,0.002690379,0.002073562,0.227308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606189,"about_ca_system_score_gemma":0.002429303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02012825,"about_ca_topic_score_gemma":0.03321857,"domain_scores_codex":[0.9988415,0.0001568602,0.0001569768,0.0004026409,0.0002596179,0.0001825465],"domain_scores_gemma":[0.9972315,0.0008185017,0.0002606346,0.0007223879,0.0006561546,0.0003107292],"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":[0.0000288319,0.00001086754,0.0003627489,0.0005840205,0.00001550533,0.00001510554,0.00002579931,0.0001190852,0.0001174427,0.0004073758,0.9969766,0.001336615],"study_design_scores_gemma":[0.00007081009,0.000007281893,0.001707892,0.0002036368,0.00001485693,0.00003707175,0.00007344864,0.0001330111,0.000183349,0.0007591085,0.9967918,0.0000176861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003526885,0.00002368835,0.00004649663,0.00003124346,0.00001080022,0.000005013118,0.9988979,0.0003425056,0.0006070746],"genre_scores_gemma":[0.0001465197,0.000031797,0.0001971932,0.00004045664,0.000003124407,0.00004247015,0.9989397,0.0001620782,0.000436762],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8301595,"threshold_uncertainty_score":0.5681731,"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."}}