{"id":"W6943427489","doi":"10.15468/dl.uxcxrf","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009238005,0.00206456,0.001568309,0.004604748,0.000984678,0.002507869,0.002710249,0.001993408,0.1626618],"category_scores_gemma":[0.005962391,0.0009100089,0.001215709,0.00919068,0.0004322196,0.002168669,0.002452092,0.001889801,0.218832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539838,"about_ca_system_score_gemma":0.002307073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02129476,"about_ca_topic_score_gemma":0.03470818,"domain_scores_codex":[0.9990143,0.0001359582,0.0001202481,0.0003592466,0.0002071664,0.0001629628],"domain_scores_gemma":[0.997757,0.0006621983,0.0002113936,0.0005601546,0.0005573608,0.0002519304],"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":[0.00003161921,0.00001167043,0.0003699529,0.0005459125,0.00001448174,0.00001399647,0.00002024075,0.0001270139,0.0001150453,0.0003513778,0.9969921,0.001406547],"study_design_scores_gemma":[0.00008223895,0.00001059621,0.001875549,0.000199062,0.00001558481,0.0000364546,0.00006519797,0.0001654515,0.0001960338,0.000837641,0.9964971,0.0000189602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000430225,0.00002859212,0.0000415356,0.00003583407,0.00001209781,0.00000535826,0.9988164,0.0003898907,0.0006272054],"genre_scores_gemma":[0.0001642877,0.00003534904,0.0001988898,0.0000501163,0.000003725093,0.00004516599,0.9988476,0.0001547604,0.0005001177],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8373382,"threshold_uncertainty_score":0.5441579,"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."}}