{"id":"W6886974754","doi":"10.15468/dl.p5zu8k","title":"Occurrence Download","year":2023,"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":[0.001038163,0.001896973,0.00154531,0.004920301,0.0009589609,0.002485655,0.002717215,0.002070038,0.1482586],"category_scores_gemma":[0.005813419,0.0008849174,0.001197011,0.009756782,0.0004443393,0.002137625,0.002395021,0.001975347,0.2103988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614063,"about_ca_system_score_gemma":0.002332322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02281176,"about_ca_topic_score_gemma":0.0368289,"domain_scores_codex":[0.9989612,0.000145765,0.0001315466,0.0003588175,0.0002339137,0.0001686798],"domain_scores_gemma":[0.9974378,0.0007672395,0.0002389575,0.0006475121,0.0006219306,0.000286374],"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":[0.00002879076,0.00001276967,0.0004001005,0.0005216795,0.00001497866,0.00001452822,0.00002281693,0.0001274114,0.0001242048,0.0003615276,0.9969727,0.001398561],"study_design_scores_gemma":[0.00007737035,0.000009486473,0.002280059,0.0002008862,0.00001574886,0.0000377273,0.00007702265,0.0001538896,0.000206804,0.000752957,0.9961695,0.00001850148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004406756,0.00002562842,0.00004031786,0.00003483352,0.00001120516,0.000005081142,0.9989491,0.0003158129,0.0005739598],"genre_scores_gemma":[0.0001549447,0.00003037646,0.0001736913,0.00004062285,0.000003213169,0.00003928195,0.9990082,0.0001180993,0.0004316054],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8517414,"threshold_uncertainty_score":0.4959744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}