{"id":"W6887091842","doi":"10.15468/dl.prp3x3","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); State (computer science); 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":[0.001042511,0.002024591,0.001571358,0.004964904,0.001031504,0.002525475,0.002950664,0.002078714,0.1587577],"category_scores_gemma":[0.005920528,0.0009315694,0.001158031,0.009695026,0.0004667497,0.002377766,0.002581085,0.002106089,0.224909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584846,"about_ca_system_score_gemma":0.002280039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02017932,"about_ca_topic_score_gemma":0.03376636,"domain_scores_codex":[0.9989629,0.0001446143,0.0001259538,0.0003679969,0.0002271155,0.0001713679],"domain_scores_gemma":[0.9975002,0.0007034627,0.0002334665,0.0006760046,0.0005990043,0.0002879428],"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":[0.00002770368,0.00001192172,0.0003501752,0.0004950186,0.00001408327,0.00001415534,0.00002298333,0.0001259365,0.000114182,0.0003697252,0.9970804,0.001373763],"study_design_scores_gemma":[0.0000712457,0.000007953625,0.001697832,0.0001766529,0.00001345361,0.00003511426,0.00007187739,0.0001529024,0.000190155,0.0007858002,0.9967795,0.00001754685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004285189,0.00002563124,0.00004946128,0.00003451344,0.0000125311,0.000005448226,0.9987893,0.0003835569,0.0006568935],"genre_scores_gemma":[0.0001566674,0.00003018607,0.0001993927,0.00004213635,0.000003477453,0.00004312601,0.9989263,0.0001494275,0.0004492699],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8412423,"threshold_uncertainty_score":0.5310974,"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."}}