{"id":"W6925121028","doi":"10.15468/dl.rvbzq3","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Medical and Pharmaceutic Studies","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Confidentiality","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":[0.001146033,0.002198447,0.001704731,0.005071573,0.001006895,0.002660817,0.003018631,0.002549173,0.1123086],"category_scores_gemma":[0.006105447,0.0008379563,0.001308463,0.009059574,0.0005090167,0.002238693,0.002432145,0.002195363,0.1652635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733171,"about_ca_system_score_gemma":0.002485651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02031453,"about_ca_topic_score_gemma":0.03472049,"domain_scores_codex":[0.9988832,0.0001733259,0.000143248,0.000386773,0.0002492324,0.0001642942],"domain_scores_gemma":[0.9974934,0.0007687948,0.0002422939,0.000611668,0.000588475,0.0002953697],"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":[0.00004570735,0.000019078,0.0005282812,0.0007881451,0.00002153734,0.00002239386,0.00002446617,0.0002080668,0.000158773,0.0004238463,0.9960296,0.001730047],"study_design_scores_gemma":[0.0001116716,0.00001254715,0.001974022,0.0002423357,0.0000189312,0.00004825844,0.00006943075,0.0002426345,0.0002238565,0.0008316155,0.9962043,0.00002035692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005606816,0.00004426993,0.00004470898,0.00004534722,0.00001342415,0.000007017317,0.9988838,0.0003638787,0.0005415672],"genre_scores_gemma":[0.0001765111,0.00004459837,0.0002064477,0.00005301787,0.000003763535,0.00004467521,0.9989939,0.00009482433,0.0003821889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8876914,"threshold_uncertainty_score":0.3757096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093378884288675,"score_gpt":0.3792806366081115,"score_spread":0.269942748179244,"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."}}