{"id":"W6924848620","doi":"10.15468/dl.yp3uxh","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Neurological Disease Mechanisms and Treatments","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Confidentiality; State (computer science)","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":[0.001038151,0.002246698,0.001806838,0.004370867,0.0009947864,0.002552222,0.003133463,0.002468022,0.1232099],"category_scores_gemma":[0.005592674,0.0008530132,0.001302258,0.008323336,0.0004939013,0.002063776,0.002287124,0.002089175,0.1792501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001770252,"about_ca_system_score_gemma":0.002510169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02348669,"about_ca_topic_score_gemma":0.04293106,"domain_scores_codex":[0.9990875,0.000140377,0.0001141501,0.0003197854,0.0001990662,0.0001392377],"domain_scores_gemma":[0.9980509,0.0005924954,0.0001901137,0.0004652768,0.0004596667,0.0002415441],"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":[0.00004046644,0.00001338335,0.00033205,0.0006799165,0.00002049255,0.00001790115,0.00002010052,0.0001496986,0.0001155021,0.0003898201,0.996825,0.001395799],"study_design_scores_gemma":[0.0001195202,0.00001066216,0.001721827,0.0002349117,0.00002086766,0.00004853395,0.0000583586,0.0001909553,0.0002152152,0.001034533,0.9963252,0.00001941222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004433652,0.00004961455,0.00004507502,0.00004533874,0.00001130377,0.000006306212,0.9988056,0.0003719702,0.0006203922],"genre_scores_gemma":[0.0001654151,0.00005078461,0.0001803774,0.00005480698,0.00000340371,0.00004660715,0.9989653,0.0001147239,0.0004186164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8767901,"threshold_uncertainty_score":0.4121783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02916277087560326,"score_gpt":0.2342206543003245,"score_spread":0.2050578834247213,"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."}}