{"id":"W6905985753","doi":"10.15468/dl.ps6peq","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); 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":[0.0009599531,0.001908649,0.001542344,0.004909812,0.0009660798,0.002554713,0.002749804,0.002000302,0.1714057],"category_scores_gemma":[0.005802519,0.0008862515,0.001086054,0.009755869,0.0004430125,0.002324817,0.002479361,0.001956727,0.236984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493328,"about_ca_system_score_gemma":0.00223572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01890356,"about_ca_topic_score_gemma":0.03224279,"domain_scores_codex":[0.999055,0.0001304893,0.0001172234,0.0003349264,0.000204416,0.0001580483],"domain_scores_gemma":[0.9976986,0.0006601384,0.0002190479,0.0005957197,0.0005614998,0.000264906],"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":[0.00002609423,0.00001049081,0.0003455351,0.0005124172,0.00001402376,0.00001443277,0.00002239828,0.000120969,0.0001078458,0.0003801197,0.9971178,0.001327984],"study_design_scores_gemma":[0.00006805161,0.000007131472,0.001657645,0.0001764534,0.0000129806,0.00003320498,0.00006863651,0.0001312156,0.0001792965,0.0008234956,0.9968249,0.00001687315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003672993,0.00002321727,0.00004010399,0.00003143806,0.00001062156,0.000004590101,0.9989023,0.0003189118,0.0006319728],"genre_scores_gemma":[0.0001615841,0.00003096192,0.0001859836,0.00004324381,0.000003540253,0.00004044031,0.9989069,0.0001432997,0.0004841279],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8285943,"threshold_uncertainty_score":0.5734092,"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."}}