{"id":"W6887121378","doi":"10.15468/dl.snx5uq","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); State (computer science); Confidentiality","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":[0.0009997669,0.001932952,0.001454366,0.004540289,0.001014414,0.002441227,0.002828661,0.002062508,0.1519192],"category_scores_gemma":[0.005867324,0.0008838637,0.00113228,0.008902014,0.0004530697,0.002431089,0.002536977,0.002114061,0.2172267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001569586,"about_ca_system_score_gemma":0.002314526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.021118,"about_ca_topic_score_gemma":0.03923899,"domain_scores_codex":[0.9989524,0.0001537793,0.0001246902,0.0003767706,0.0002276567,0.00016472],"domain_scores_gemma":[0.9974313,0.0007222274,0.0002281453,0.0007187204,0.0006084537,0.0002911541],"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":[0.00002564146,0.00001172496,0.0003487072,0.0004219538,0.00001225856,0.00001284048,0.00002209186,0.0001241153,0.00009892872,0.0003717015,0.997251,0.001299033],"study_design_scores_gemma":[0.00006491237,0.000007847505,0.001626591,0.0001626035,0.00001181308,0.00003315077,0.00007072076,0.0001627695,0.0001748724,0.0008322478,0.9968359,0.00001670174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004802361,0.00002602149,0.00005088884,0.00004081884,0.00001340499,0.000005708024,0.9986662,0.0004136299,0.0007353582],"genre_scores_gemma":[0.0001625038,0.00002943762,0.0002169239,0.00004591848,0.00000348758,0.00004141345,0.9988399,0.0001545333,0.0005059427],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8480809,"threshold_uncertainty_score":0.5082202,"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."}}