{"id":"W6943686744","doi":"10.15468/dl.s9mtsn","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); 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":[0.0009909417,0.001908652,0.00160723,0.004992518,0.0009755903,0.002637559,0.002737135,0.002063133,0.1527377],"category_scores_gemma":[0.006005479,0.0009050558,0.001157538,0.009786514,0.0004312766,0.002387926,0.002532718,0.002027107,0.2125989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564836,"about_ca_system_score_gemma":0.002231327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01957848,"about_ca_topic_score_gemma":0.03357151,"domain_scores_codex":[0.9989294,0.0001475069,0.0001360632,0.0003781763,0.0002336661,0.0001751217],"domain_scores_gemma":[0.9975344,0.0006940358,0.0002379023,0.0006502271,0.000594811,0.0002885798],"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":[0.00002932348,0.0000113996,0.0004179981,0.0005191856,0.00001487021,0.00001476861,0.00002272461,0.0001246898,0.0001127387,0.0003903011,0.9970342,0.001307826],"study_design_scores_gemma":[0.00007185128,0.000008044233,0.00195506,0.0001893959,0.00001420895,0.00003721482,0.00007336533,0.0001516105,0.0001812111,0.0008135844,0.9964868,0.0000176216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004218959,0.00002548264,0.00004255135,0.00003450679,0.00001110223,0.000004815765,0.9988949,0.0003317319,0.0006127886],"genre_scores_gemma":[0.0001619977,0.00003178111,0.000185997,0.00004442917,0.000003409318,0.00003988732,0.9989255,0.000135229,0.0004716328],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8472623,"threshold_uncertainty_score":0.5109584,"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."}}