{"id":"W6924354876","doi":"10.15468/dl.3k9ww7","title":"Occurrence Download","year":2024,"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); 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":[0.0009596523,0.002146296,0.001733562,0.005795217,0.001154848,0.002868715,0.003020658,0.002251855,0.1937221],"category_scores_gemma":[0.006641043,0.001056981,0.001401035,0.01121209,0.0004230556,0.002826354,0.00284533,0.002113088,0.2723734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001890286,"about_ca_system_score_gemma":0.002579083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02541741,"about_ca_topic_score_gemma":0.04367978,"domain_scores_codex":[0.9987361,0.0001577123,0.0001609588,0.0004382652,0.0002963774,0.0002106625],"domain_scores_gemma":[0.9972199,0.0007415699,0.0002339957,0.0007041995,0.0007951162,0.0003052249],"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":[0.00002703072,0.000009352012,0.0003490555,0.0005042961,0.00001459547,0.00001442908,0.0000196887,0.0001202996,0.0001027391,0.0003607598,0.9968701,0.001607649],"study_design_scores_gemma":[0.00006114761,0.000007090199,0.001515865,0.0001787183,0.00001317693,0.00003700081,0.00006438015,0.0001556232,0.0001670773,0.0007301748,0.997052,0.00001766826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003760591,0.00003260688,0.00005603265,0.00003873791,0.00001368317,0.000005013118,0.998513,0.0005244439,0.000778855],"genre_scores_gemma":[0.0001453159,0.00003762954,0.0002265336,0.00004663662,0.000003768691,0.00003555765,0.9987811,0.0001919453,0.0005313896],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8062779,"threshold_uncertainty_score":0.6480649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}