{"id":"W6905733822","doi":"10.15468/dl.pjmp7k","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); 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":[0.0009655208,0.001931886,0.001510965,0.004829786,0.0009881387,0.002499194,0.002651274,0.002063234,0.1664226],"category_scores_gemma":[0.005940177,0.0008582731,0.001200682,0.008893423,0.000444885,0.002324531,0.002571571,0.001899932,0.2371497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466698,"about_ca_system_score_gemma":0.00219973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0203126,"about_ca_topic_score_gemma":0.03265613,"domain_scores_codex":[0.9990227,0.0001385414,0.0001226477,0.0003467813,0.0002061945,0.0001631621],"domain_scores_gemma":[0.9974793,0.000735704,0.000222938,0.0006696506,0.0006177829,0.0002747216],"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":[0.00002706004,0.00001127623,0.0003806436,0.0005084833,0.00001311596,0.00001485353,0.00002298482,0.0001170785,0.0001051779,0.0003228306,0.997024,0.001452517],"study_design_scores_gemma":[0.00007166307,0.000009360519,0.001915868,0.0002038598,0.00001383348,0.00003823065,0.00008216242,0.0001660026,0.0001838203,0.0007416356,0.9965558,0.00001770973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004690133,0.00002812198,0.00004538642,0.00004112074,0.00001429492,0.000006109464,0.9987611,0.0004115475,0.0006456032],"genre_scores_gemma":[0.0001737086,0.00003492763,0.0002090861,0.00005076655,0.000004284962,0.00004769631,0.9988167,0.0001540885,0.0005087527],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8335774,"threshold_uncertainty_score":0.5567391,"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."}}