{"id":"W6943519643","doi":"10.15468/dl.y2yasg","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":[0.001001865,0.001856526,0.001544541,0.004978697,0.001018758,0.002710894,0.002711613,0.002074447,0.1677051],"category_scores_gemma":[0.006463744,0.0008947878,0.001234823,0.009114029,0.0004332361,0.002432572,0.00255627,0.002002364,0.2234316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563156,"about_ca_system_score_gemma":0.002278451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02086123,"about_ca_topic_score_gemma":0.03206691,"domain_scores_codex":[0.9989654,0.0001433938,0.0001320828,0.0003705083,0.0002242835,0.0001644504],"domain_scores_gemma":[0.9974049,0.0008112784,0.0002220945,0.0006623066,0.0006290513,0.0002702664],"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":[0.0000277393,0.00001163839,0.0004122335,0.0005512576,0.00001483549,0.00001594653,0.00002416693,0.0001204426,0.0001132525,0.0003727438,0.9968849,0.001450859],"study_design_scores_gemma":[0.00007208277,0.00000866955,0.002034781,0.0002145584,0.00001534991,0.00003919618,0.00008193028,0.0001720944,0.000186459,0.0008101237,0.9963459,0.00001878595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004075553,0.0000268145,0.00004569058,0.00004107565,0.00001277544,0.000005746746,0.9988512,0.0003701043,0.0006057948],"genre_scores_gemma":[0.0001719735,0.00003690111,0.0002077049,0.00005210476,0.000004076951,0.00004924831,0.9988208,0.0001522623,0.0005048783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8322949,"threshold_uncertainty_score":0.5610294,"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."}}