{"id":"W6887144391","doi":"10.15468/dl.qvagms","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); The Internet; Order (exchange)","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":[0.0009642348,0.002126211,0.001665969,0.005272158,0.001058144,0.002513444,0.002936835,0.002300478,0.1393405],"category_scores_gemma":[0.006055025,0.0009234151,0.00124716,0.009927589,0.0004680884,0.002388419,0.002512757,0.00207446,0.1989996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752057,"about_ca_system_score_gemma":0.002392604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02342684,"about_ca_topic_score_gemma":0.03711216,"domain_scores_codex":[0.9989327,0.0001431885,0.0001391454,0.0003697011,0.0002391659,0.0001762858],"domain_scores_gemma":[0.9974241,0.0007372425,0.0002396624,0.0006706833,0.0006287204,0.0002994931],"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":[0.00003364924,0.00001403319,0.0004125425,0.0005742076,0.00001489758,0.00001798068,0.0000243251,0.00013512,0.0001243976,0.0003391338,0.9968365,0.001473072],"study_design_scores_gemma":[0.00008547471,0.00001073485,0.002204552,0.000211949,0.00001617169,0.00004740659,0.00008641771,0.0002083913,0.0002142007,0.0006942259,0.9962017,0.00001861273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005522344,0.00003043675,0.00004354666,0.00003900144,0.00001283459,0.000006193594,0.9987876,0.0004191409,0.0006061226],"genre_scores_gemma":[0.0001660854,0.00003178584,0.000185076,0.00004136114,0.00000321972,0.00004191963,0.9989834,0.0001215696,0.0004254853],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8606595,"threshold_uncertainty_score":0.4661405,"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."}}