{"id":"W6906215476","doi":"10.15468/dl.stvm47","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":[0.001029422,0.001968804,0.001578396,0.004842164,0.001006093,0.002657574,0.002800269,0.002170657,0.1563554],"category_scores_gemma":[0.006584829,0.0009028938,0.001304043,0.008769243,0.0004437224,0.002443633,0.002607102,0.002046953,0.2146713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567484,"about_ca_system_score_gemma":0.002278386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02093825,"about_ca_topic_score_gemma":0.03216752,"domain_scores_codex":[0.9989434,0.0001518173,0.0001322561,0.0003779898,0.0002244583,0.0001699973],"domain_scores_gemma":[0.9973443,0.0008207024,0.0002250138,0.000707292,0.0006231297,0.0002795787],"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":[0.00002955913,0.00001207927,0.0004024373,0.0005472854,0.00001507005,0.00001577634,0.0000229525,0.0001305849,0.0001118172,0.0003639299,0.9968963,0.001452367],"study_design_scores_gemma":[0.00007666836,0.000009703706,0.001952448,0.0002203506,0.00001552198,0.00004007651,0.00008175459,0.0001904384,0.0001985961,0.000846621,0.9963489,0.00001902697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004570604,0.00003048848,0.00004806219,0.00004517833,0.00001427998,0.000006410223,0.9987432,0.0004566743,0.0006099316],"genre_scores_gemma":[0.0001805011,0.0000375475,0.0002189442,0.00005481399,0.000004231637,0.00004852417,0.9988233,0.0001613113,0.0004707895],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8436446,"threshold_uncertainty_score":0.5230609,"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."}}