{"id":"W6924783716","doi":"10.15468/dl.yjssnt","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Multidisciplinary Science and Engineering Research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxon; Geodetic datum; Elevation (ballistics); Footprint; Coordinate system; Matching (statistics)","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":["insufficient_payload"],"category_scores_codex":[0.0009439462,0.002042982,0.001942651,0.006538311,0.001321,0.003855834,0.002218289,0.002023152,0.3713368],"category_scores_gemma":[0.00681268,0.0009573249,0.001645159,0.009525414,0.0003882567,0.003202457,0.003362251,0.002062729,0.408025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429517,"about_ca_system_score_gemma":0.002673663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02057205,"about_ca_topic_score_gemma":0.03467355,"domain_scores_codex":[0.998664,0.0001493931,0.0002144917,0.0004453942,0.0002974768,0.0002291784],"domain_scores_gemma":[0.9967672,0.0008859326,0.0002258443,0.0008263445,0.0009011606,0.0003935603],"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":[0.00005138713,0.00001707671,0.0003877569,0.0005526709,0.00001325795,0.00002306527,0.0000306624,0.0001238929,0.0001159772,0.0005760217,0.9940514,0.004056872],"study_design_scores_gemma":[0.00006056073,0.00001107504,0.001432849,0.0001634298,0.0000132473,0.00004420571,0.0001075894,0.0002350493,0.0001590182,0.001247693,0.996502,0.00002318367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007048151,0.00004717976,0.0001392887,0.00005924257,0.00004131029,0.00001347613,0.9952615,0.001533972,0.00283346],"genre_scores_gemma":[0.0003545852,0.00007794906,0.0007539629,0.0001096352,0.00001330091,0.00006611351,0.9960487,0.0005302765,0.002045322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6286632,"threshold_uncertainty_score":0.8967118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09250483403206991,"score_gpt":0.3498212156198983,"score_spread":0.2573163815878283,"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."}}