{"id":"W6943048833","doi":"10.15468/dl.kx92qm","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; The Internet","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":[0.0009659198,0.001925033,0.001585478,0.005017795,0.0009975557,0.002712416,0.002767989,0.002067744,0.1727837],"category_scores_gemma":[0.006268809,0.0009136447,0.001231663,0.0095396,0.0004288623,0.002330683,0.002486757,0.001997715,0.2365198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563596,"about_ca_system_score_gemma":0.002232162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02087286,"about_ca_topic_score_gemma":0.03199847,"domain_scores_codex":[0.9990181,0.0001353629,0.0001209709,0.0003546262,0.0002096086,0.0001612911],"domain_scores_gemma":[0.9976019,0.000748786,0.0002136047,0.0005940475,0.0005778449,0.0002638492],"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":[0.00002694992,0.00001117811,0.0003875084,0.0005756094,0.00001491961,0.00001536587,0.00002379608,0.0001233127,0.0001068518,0.0003521424,0.9969804,0.001381952],"study_design_scores_gemma":[0.00007495637,0.000008621893,0.001970414,0.0002252925,0.00001633043,0.00003741064,0.00007859346,0.0001707457,0.0001814606,0.0008051586,0.9964126,0.00001834745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003859492,0.00002726211,0.00004019012,0.00003748408,0.00001171871,0.000005251449,0.9989142,0.000337367,0.0005878712],"genre_scores_gemma":[0.0001654516,0.00003772911,0.0001902191,0.00005035068,0.000003896972,0.00004962517,0.9988489,0.0001498725,0.0005039221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8272163,"threshold_uncertainty_score":0.5780189,"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."}}