{"id":"W6961950810","doi":"10.15468/dl.nvnebc","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); Confidentiality","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":[0.001147904,0.002035288,0.001699653,0.005262993,0.001080094,0.002886183,0.003050508,0.002087226,0.1763914],"category_scores_gemma":[0.006572346,0.001008043,0.001214434,0.01041257,0.0004666861,0.002548645,0.002715091,0.002125387,0.2471535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631455,"about_ca_system_score_gemma":0.002471223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212198,"about_ca_topic_score_gemma":0.03466794,"domain_scores_codex":[0.9988235,0.0001579463,0.0001543677,0.0004125787,0.00026407,0.0001875443],"domain_scores_gemma":[0.9972548,0.0007812547,0.0002512248,0.0007323603,0.0006659383,0.0003144734],"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":[0.00002700046,0.00001007785,0.0003238812,0.000491646,0.00001410324,0.00001379643,0.00002250841,0.0001067154,0.0001078548,0.0003711114,0.9972102,0.001301082],"study_design_scores_gemma":[0.00006555396,0.000006927613,0.001630183,0.0001835976,0.00001396648,0.00003468394,0.00006898397,0.0001281914,0.0001784889,0.0007645831,0.9969074,0.00001755502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003362564,0.00002320995,0.00004578973,0.00003229197,0.00001147656,0.000004644918,0.998855,0.0003651757,0.0006287145],"genre_scores_gemma":[0.0001347877,0.00003103121,0.0001886729,0.00004095436,0.000003231263,0.00003804471,0.9989361,0.000168335,0.0004587744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8236086,"threshold_uncertainty_score":0.590088,"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."}}