{"id":"W6943121468","doi":"10.15468/dl.pccdbq","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); Set (abstract data type)","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":[0.0009079874,0.002018311,0.001604715,0.004885281,0.0009219684,0.00248123,0.002690025,0.001930204,0.1447874],"category_scores_gemma":[0.00539457,0.0009220057,0.001173128,0.009742308,0.0004167197,0.002170232,0.002492123,0.001866388,0.2018676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001480073,"about_ca_system_score_gemma":0.002265808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02010101,"about_ca_topic_score_gemma":0.0340414,"domain_scores_codex":[0.9989277,0.0001423746,0.0001434362,0.0003800354,0.0002281547,0.000178225],"domain_scores_gemma":[0.9976325,0.0006208809,0.0002387262,0.0006198423,0.0006159146,0.0002721001],"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":[0.00003772899,0.00001252592,0.0004274483,0.0006039403,0.00001669562,0.00001533927,0.00002141181,0.0001287778,0.0001380523,0.0003959967,0.9967228,0.001479379],"study_design_scores_gemma":[0.00007914881,0.000009757391,0.002018508,0.0001852653,0.00001543765,0.00003630656,0.00006194417,0.0001409178,0.0001920139,0.0007442579,0.9964973,0.00001908953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003974252,0.00002469913,0.00003583644,0.00002811644,0.00001050969,0.00000463382,0.9990072,0.0002950564,0.0005542758],"genre_scores_gemma":[0.0001450208,0.00003223291,0.0001696243,0.00004271483,0.000003239033,0.00003592979,0.9990308,0.0001109223,0.0004295355],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8552126,"threshold_uncertainty_score":0.4843619,"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."}}