{"id":"W6962584326","doi":"10.15468/dl.xuz86a","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0008773044,0.001996415,0.001456269,0.004920979,0.0009458015,0.002380975,0.002543142,0.001900265,0.1628935],"category_scores_gemma":[0.00561184,0.0008764385,0.001169089,0.00979226,0.0004422979,0.002055001,0.002450959,0.001739766,0.2202302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424089,"about_ca_system_score_gemma":0.002205501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02074107,"about_ca_topic_score_gemma":0.0334318,"domain_scores_codex":[0.9990373,0.0001298925,0.000120937,0.000344258,0.00020155,0.0001662421],"domain_scores_gemma":[0.9977645,0.0006353827,0.0002154499,0.0005735285,0.0005614237,0.0002498085],"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":[0.00003199903,0.00001191357,0.0004297045,0.0005553536,0.00001412121,0.00001531076,0.00002312854,0.000137727,0.000131547,0.0003656407,0.996703,0.001580486],"study_design_scores_gemma":[0.0000740614,0.00001027062,0.001951071,0.0001838819,0.00001450057,0.00003620679,0.00007172461,0.0001529728,0.0001950097,0.0007686116,0.9965236,0.00001810018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004978718,0.00002726578,0.00004039059,0.00003271703,0.00001232978,0.000005124159,0.9988049,0.0003717754,0.0006557562],"genre_scores_gemma":[0.000176372,0.0000348789,0.0001987782,0.00004534931,0.000003767793,0.0000430685,0.9988567,0.0001489198,0.000492257],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8371065,"threshold_uncertainty_score":0.5449331,"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."}}