{"id":"W6962318517","doi":"10.15468/dl.zngjr5","title":"Occurrence Download","year":2021,"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); Set (abstract data type); Data set","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":[0.001042637,0.001912105,0.001685211,0.005258923,0.0009522902,0.002521987,0.002809875,0.002040225,0.1609228],"category_scores_gemma":[0.006459749,0.0009106771,0.00117757,0.01049995,0.0004372181,0.002255963,0.002481563,0.001958658,0.2114966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531166,"about_ca_system_score_gemma":0.002276126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01974533,"about_ca_topic_score_gemma":0.03190644,"domain_scores_codex":[0.998904,0.0001499981,0.0001514542,0.0003744161,0.0002399486,0.0001801868],"domain_scores_gemma":[0.9973482,0.000767423,0.0002554163,0.000666956,0.0006601464,0.0003019412],"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":[0.00003293986,0.00001204473,0.0004132292,0.000630148,0.00001683903,0.00001596771,0.00002292643,0.0001409455,0.0001212669,0.0003918546,0.9967368,0.001464883],"study_design_scores_gemma":[0.00008602752,0.000009413795,0.002108178,0.0002213481,0.00001625787,0.00003837535,0.00007145507,0.0001546314,0.0001849179,0.0008093797,0.9962813,0.00001868944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003741184,0.00002517009,0.00003660959,0.00003065072,0.000009982215,0.000004871416,0.9990651,0.0002861641,0.0005041793],"genre_scores_gemma":[0.0001530032,0.00003257124,0.0001663691,0.00004082213,0.000003373766,0.00004038873,0.9990628,0.0001171449,0.0003834778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8390772,"threshold_uncertainty_score":0.5383403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}