{"id":"W6924362949","doi":"10.15468/dl.k42sgh","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); Alien","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":[0.0009618909,0.00203951,0.001567212,0.004552301,0.001002374,0.002627798,0.002784367,0.002156602,0.158038],"category_scores_gemma":[0.006259634,0.0009162207,0.001315469,0.008582848,0.0004386205,0.00252411,0.002570831,0.002097667,0.2224114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516302,"about_ca_system_score_gemma":0.002213886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02022053,"about_ca_topic_score_gemma":0.03267537,"domain_scores_codex":[0.9989472,0.0001484664,0.0001273942,0.0003856832,0.0002227555,0.000168405],"domain_scores_gemma":[0.9974274,0.0007839173,0.0002156136,0.0006849002,0.000611398,0.0002767855],"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":[0.00002946927,0.00001263785,0.0004002286,0.0005291724,0.00001456317,0.00001525334,0.00002301836,0.0001357069,0.0001069172,0.000343185,0.9969699,0.001419971],"study_design_scores_gemma":[0.00007795439,0.000009890158,0.001985255,0.0002107582,0.00001574891,0.00003824418,0.00008364042,0.0002088662,0.0002017803,0.0008839052,0.996264,0.00001994341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004427005,0.00002655449,0.00004769236,0.00004171772,0.00001362362,0.000005980795,0.9987778,0.0004395125,0.0006027647],"genre_scores_gemma":[0.0001688256,0.00003302123,0.0002169774,0.00005033763,0.000003834884,0.00004756304,0.9988596,0.0001596619,0.0004602538],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.841962,"threshold_uncertainty_score":0.5286898,"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."}}