{"id":"W6887239512","doi":"10.15468/dl.wvmqy3","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); Range (aeronautics); Alien; 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":[0.0009956937,0.001868258,0.001641099,0.004892437,0.001027577,0.002533717,0.002782102,0.002164184,0.1525465],"category_scores_gemma":[0.005964994,0.0008898065,0.001286912,0.009566766,0.0004431298,0.002259744,0.002492981,0.001980345,0.2200063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578726,"about_ca_system_score_gemma":0.00231959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02158703,"about_ca_topic_score_gemma":0.03462107,"domain_scores_codex":[0.9989672,0.0001444561,0.0001324295,0.0003576173,0.0002284407,0.0001699657],"domain_scores_gemma":[0.9975252,0.0007339473,0.0002240056,0.0006251869,0.0006232546,0.0002684414],"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":[0.00003059839,0.00001246422,0.0003853112,0.0006025011,0.0000152966,0.00001560463,0.00002312535,0.0001210277,0.000131082,0.0003440378,0.9967653,0.001553613],"study_design_scores_gemma":[0.0000748645,0.000009701514,0.002105285,0.0002294089,0.0000162816,0.00003899191,0.00007874126,0.0001534872,0.0002031817,0.000696008,0.9963755,0.0000184686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004719724,0.00003288714,0.00004238422,0.0000387216,0.00001276589,0.000006028406,0.9988009,0.000377765,0.0006413283],"genre_scores_gemma":[0.0001628704,0.00003809096,0.0001864939,0.00004785465,0.00000358336,0.00004621048,0.9989265,0.0001305563,0.0004578618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8474535,"threshold_uncertainty_score":0.510319,"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."}}