{"id":"W6943486523","doi":"10.15468/dl.tjpmqe","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); The Internet; Software","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":[0.00100182,0.001960623,0.001653227,0.004990256,0.0009774049,0.002627103,0.00281565,0.002092369,0.1454316],"category_scores_gemma":[0.006028694,0.0008830471,0.00116579,0.009516128,0.0004401865,0.002359858,0.002484058,0.001983475,0.2060241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506808,"about_ca_system_score_gemma":0.002295382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01985507,"about_ca_topic_score_gemma":0.03410365,"domain_scores_codex":[0.9989404,0.0001496173,0.0001377466,0.0003719257,0.0002286135,0.0001716536],"domain_scores_gemma":[0.9975212,0.0007174333,0.0002397547,0.0006362767,0.0005989694,0.0002863993],"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":[0.0000318474,0.00001185406,0.0004154001,0.0005811293,0.00001628529,0.00001669715,0.00002372092,0.0001334403,0.0001202266,0.0003861718,0.996883,0.001380077],"study_design_scores_gemma":[0.00007607456,0.000008565517,0.001980485,0.0002013964,0.00001516272,0.00003999122,0.00007305248,0.0001559846,0.0001889593,0.0008265951,0.9964145,0.0000191411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000412701,0.00002764759,0.00004423006,0.00003370038,0.00001120383,0.000004948939,0.9989133,0.0003494759,0.0005742595],"genre_scores_gemma":[0.0001643526,0.00003324162,0.0001887976,0.00004387748,0.000003482837,0.00003987808,0.9989723,0.0001315349,0.0004226511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8545684,"threshold_uncertainty_score":0.4865172,"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."}}