{"id":"W6924666080","doi":"10.15468/dl.sbwdsz","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); Alien; Range (aeronautics); Data source","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":[0.001062948,0.001953421,0.001596262,0.004835893,0.001000503,0.002549242,0.002819519,0.002111798,0.1519917],"category_scores_gemma":[0.006156308,0.0009217458,0.001248455,0.009464487,0.00045214,0.00227984,0.002485075,0.002040038,0.2151682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638396,"about_ca_system_score_gemma":0.002376898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02204349,"about_ca_topic_score_gemma":0.03548404,"domain_scores_codex":[0.9989315,0.0001486253,0.0001308762,0.000380085,0.0002344429,0.0001744386],"domain_scores_gemma":[0.9974225,0.0007656876,0.0002326968,0.0006745136,0.0006187642,0.0002858607],"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":[0.00003024424,0.00001176593,0.0003915426,0.0005464749,0.000015214,0.00001443576,0.00002301756,0.0001304801,0.0001258821,0.0003789002,0.9969221,0.001409849],"study_design_scores_gemma":[0.00007049498,0.000008652703,0.001941365,0.0001956432,0.00001504261,0.00003457911,0.00007092209,0.0001505105,0.0002085906,0.0007782007,0.9965079,0.00001810148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004142856,0.00002579649,0.00004297548,0.00003438241,0.00001148331,0.00000518559,0.9988822,0.000355494,0.0006010619],"genre_scores_gemma":[0.0001609341,0.00003209458,0.0001904284,0.00004367462,0.00000327475,0.00004303102,0.9989216,0.0001436829,0.0004612867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8480083,"threshold_uncertainty_score":0.5084627,"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."}}