{"id":"W6943582848","doi":"10.15468/dl.zdk6u7","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); Complement (music); 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":[0.0009497562,0.001954111,0.001609677,0.005111808,0.0009337625,0.002585463,0.002731572,0.002033211,0.1751834],"category_scores_gemma":[0.005744849,0.0009128477,0.001101909,0.01007795,0.0004360321,0.002297734,0.002511952,0.001942902,0.2343326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447755,"about_ca_system_score_gemma":0.002162302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.018378,"about_ca_topic_score_gemma":0.03179442,"domain_scores_codex":[0.9990299,0.0001308939,0.0001237123,0.0003427479,0.0002078677,0.0001648982],"domain_scores_gemma":[0.997595,0.000701572,0.0002352163,0.0006207743,0.000560493,0.0002869017],"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":[0.00002973496,0.0000114683,0.0003872088,0.0005830901,0.00001494988,0.00001637376,0.00002477523,0.0001265818,0.0001234086,0.0003837151,0.996895,0.001403834],"study_design_scores_gemma":[0.00007523852,0.000008079105,0.001917997,0.0001984759,0.00001440339,0.000038386,0.00007403385,0.0001413809,0.000184398,0.0007859881,0.9965435,0.00001810177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003957894,0.00002414922,0.00004132802,0.00002952859,0.00001000115,0.000004693851,0.9989262,0.0003226437,0.0006018311],"genre_scores_gemma":[0.0001650444,0.00003120744,0.0001868827,0.00004155197,0.000003383714,0.00004142903,0.9989175,0.0001465619,0.0004665431],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8248166,"threshold_uncertainty_score":0.5860468,"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."}}