{"id":"W6943410842","doi":"10.15468/dl.s5gnre","title":"Occurrence Download","year":2023,"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); Order (exchange); Data set","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":[0.001039248,0.001993428,0.001600925,0.004877294,0.00100828,0.002570196,0.002889856,0.002048613,0.1507687],"category_scores_gemma":[0.00579689,0.0009328898,0.001184341,0.01005622,0.0004329619,0.002300713,0.002487322,0.002036906,0.2135062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678888,"about_ca_system_score_gemma":0.002341707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02542106,"about_ca_topic_score_gemma":0.04011941,"domain_scores_codex":[0.9989554,0.0001421769,0.0001294196,0.0003552586,0.0002427548,0.0001748849],"domain_scores_gemma":[0.9975961,0.0006774814,0.0002263853,0.0006284392,0.0005945872,0.0002769237],"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":[0.00002685709,0.00001062788,0.0003437668,0.0004445273,0.00001398465,0.00001321396,0.00002237194,0.0001174573,0.0001025748,0.0003871231,0.9972313,0.001286219],"study_design_scores_gemma":[0.00006880869,0.000007339418,0.001835308,0.0001710388,0.00001374453,0.0000341956,0.00006773228,0.0001580807,0.0001899155,0.0008033178,0.9966329,0.00001771883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003963838,0.00002421535,0.00004720562,0.00003386966,0.00001084597,0.000004766694,0.9987962,0.0004041973,0.0006390365],"genre_scores_gemma":[0.0001500626,0.00002874894,0.00018629,0.00004103716,0.000003006091,0.00003731021,0.9989645,0.0001607094,0.0004283061],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8492314,"threshold_uncertainty_score":0.5043714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}