{"id":"W4395771253","doi":"10.15468/dl.aummpd","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.001021236,0.002172336,0.001758465,0.005110557,0.0009761499,0.002466575,0.003101066,0.002360324,0.1339897],"category_scores_gemma":[0.006014612,0.0009113703,0.00121039,0.01012727,0.0004722679,0.002190568,0.002321142,0.002116658,0.1842298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001730156,"about_ca_system_score_gemma":0.002311696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02246735,"about_ca_topic_score_gemma":0.03537981,"domain_scores_codex":[0.9988586,0.0001511135,0.0001535462,0.000372816,0.0002777893,0.0001861563],"domain_scores_gemma":[0.9975262,0.000698361,0.0002433437,0.0006079872,0.0006269128,0.000297175],"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":[0.000035838,0.00001495709,0.0003852454,0.000514627,0.00001593016,0.00001727126,0.00001836245,0.0001601758,0.0001015191,0.0003188621,0.9970746,0.001342639],"study_design_scores_gemma":[0.0001317547,0.00001191728,0.002384319,0.0001993748,0.00001691442,0.0000480457,0.00007478673,0.0002829345,0.0002256824,0.0008179295,0.9957858,0.0000205154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004604454,0.00002488149,0.00003366253,0.00003351214,0.000008990626,0.000005564272,0.9990797,0.000321845,0.0004457588],"genre_scores_gemma":[0.0001595284,0.00002733101,0.0001561052,0.00003601313,0.000003076516,0.00003969155,0.9991531,0.00009316763,0.0003319658],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8660103,"threshold_uncertainty_score":0.4482401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110344634210572,"score_gpt":0.2087697364787635,"score_spread":0.1977352730577063,"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."}}