{"id":"W6943141641","doi":"10.15468/dl.u5dh46","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":"Matching (statistics); Download; Range (aeronautics); Identification (biology); Key (lock)","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":[0.000989791,0.002000309,0.001622024,0.005161983,0.00102271,0.002694953,0.002844881,0.001928521,0.1753256],"category_scores_gemma":[0.006479241,0.001023087,0.001180973,0.01038937,0.0004401804,0.002350847,0.002595132,0.00194992,0.2335408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580953,"about_ca_system_score_gemma":0.002409779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02190208,"about_ca_topic_score_gemma":0.03755235,"domain_scores_codex":[0.9988464,0.0001526933,0.0001572481,0.0004127708,0.0002508988,0.0001798998],"domain_scores_gemma":[0.9973032,0.0007604057,0.0002583686,0.0006871161,0.0007011509,0.0002897194],"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":[0.000029726,0.000009549045,0.0003543765,0.0005269201,0.00001423824,0.00001393332,0.00002226589,0.0001055779,0.0001095816,0.000383327,0.9970587,0.001371908],"study_design_scores_gemma":[0.00006392163,0.000007219928,0.001650812,0.0001766972,0.00001398791,0.00003507888,0.00005760779,0.0001150695,0.0001714286,0.0007380044,0.9969524,0.00001777647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003364949,0.00002329232,0.00004236363,0.00002905543,0.0000103975,0.000004283952,0.9988756,0.0003379381,0.0006433262],"genre_scores_gemma":[0.0001450862,0.0000325696,0.0001982409,0.00004380161,0.000003336959,0.00003924895,0.9988564,0.0001710902,0.0005101679],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8246744,"threshold_uncertainty_score":0.5865225,"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."}}