{"id":"W6905927038","doi":"10.15468/dl.tu3bm7","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); Product (mathematics)","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":[0.001163917,0.002031949,0.001647037,0.005181477,0.001100532,0.002793561,0.002972536,0.002098757,0.1748701],"category_scores_gemma":[0.006595924,0.0009934391,0.001173045,0.0106274,0.0004709598,0.002391423,0.002619817,0.00209193,0.2415104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001735386,"about_ca_system_score_gemma":0.002576114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02373249,"about_ca_topic_score_gemma":0.0383477,"domain_scores_codex":[0.9988323,0.0001578717,0.0001523423,0.0004017254,0.0002682881,0.0001875548],"domain_scores_gemma":[0.9972229,0.0007861899,0.0002501503,0.0007179893,0.0007262724,0.0002966342],"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":[0.00002692129,0.0000104777,0.0003331694,0.0005183173,0.00001457765,0.00001540586,0.00002450146,0.0001143425,0.0001182231,0.0004157136,0.9971445,0.001263772],"study_design_scores_gemma":[0.00006233967,0.000006420269,0.001554292,0.0001710436,0.00001322406,0.00003355694,0.00006709249,0.0001229861,0.0001818419,0.0007415134,0.9970284,0.0000173065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003269174,0.00002294897,0.00004659324,0.00003256519,0.00001086662,0.000004896567,0.998826,0.0003471457,0.0006763664],"genre_scores_gemma":[0.0001382207,0.00003053309,0.0001929504,0.0000408992,0.000003063338,0.00004055805,0.9989378,0.0001616726,0.0004543959],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8251299,"threshold_uncertainty_score":0.5849987,"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."}}