{"id":"W6887051370","doi":"10.15468/dl.pgmvyn","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); Alien; The Internet","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":[0.000967467,0.00201705,0.001551482,0.004757046,0.001024264,0.002562657,0.002790018,0.002134399,0.1623393],"category_scores_gemma":[0.006059963,0.0008846211,0.001292326,0.00877923,0.0004476021,0.00248478,0.002614649,0.002006682,0.2304094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503808,"about_ca_system_score_gemma":0.002265627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02137314,"about_ca_topic_score_gemma":0.03461175,"domain_scores_codex":[0.9989738,0.0001452246,0.0001232477,0.0003671554,0.0002202561,0.0001701788],"domain_scores_gemma":[0.9974432,0.0007363877,0.0002138369,0.0007006156,0.0006208702,0.0002850885],"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":[0.00002715599,0.00001186862,0.0003711706,0.0004692966,0.00001273307,0.00001443057,0.00002194173,0.0001186294,0.0001008354,0.0003216988,0.9971157,0.001414432],"study_design_scores_gemma":[0.00007217444,0.000009654559,0.001908385,0.000199365,0.00001383388,0.00003847113,0.00008222576,0.0001899191,0.0001925687,0.0008142055,0.9964607,0.00001845305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004971431,0.00002931553,0.00004989009,0.00004542739,0.00001508069,0.000006432071,0.9986259,0.0005053248,0.0006729772],"genre_scores_gemma":[0.0001711479,0.00003374514,0.0002169645,0.0000524412,0.000004222991,0.00004594274,0.9988112,0.0001672662,0.0004971768],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8376607,"threshold_uncertainty_score":0.5430791,"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."}}