{"id":"W6887263954","doi":"10.15468/dl.ydyg3d","title":"Occurrence Download","year":2021,"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":[0.000892921,0.001848385,0.00154495,0.004940917,0.0009793759,0.002694543,0.002766105,0.001979582,0.1696164],"category_scores_gemma":[0.005977482,0.0009327604,0.001115146,0.01006555,0.0004282495,0.0024401,0.002499172,0.002019609,0.2345928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001662298,"about_ca_system_score_gemma":0.002199507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02107008,"about_ca_topic_score_gemma":0.03454234,"domain_scores_codex":[0.9990456,0.0001278205,0.0001246231,0.0003308975,0.0002185069,0.0001525613],"domain_scores_gemma":[0.9977799,0.00065176,0.0001953569,0.0005413518,0.0005937968,0.0002378712],"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":[0.00002542129,0.00001059271,0.0003439314,0.0005549438,0.00001282081,0.00001403019,0.00002337441,0.000116337,0.00009451005,0.0003790387,0.996783,0.001641995],"study_design_scores_gemma":[0.00005935826,0.000006498897,0.001469351,0.0001948708,0.00001180038,0.00003445876,0.00007273815,0.0001426638,0.0001599824,0.000732299,0.9971004,0.00001543293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003841222,0.00003159757,0.00004928536,0.00003845236,0.00001198297,0.000005360997,0.9986815,0.0004016668,0.0007417904],"genre_scores_gemma":[0.0001716929,0.0000443698,0.0002435434,0.00004797474,0.000003794548,0.0000463018,0.9987093,0.0001704278,0.0005625395],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8303837,"threshold_uncertainty_score":0.5674233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}