{"id":"W6905858870","doi":"10.15468/dl.uajd6y","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":"Download; Matching (statistics); Range (aeronautics); Data set; 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":[0.001023939,0.001942875,0.001648494,0.005145427,0.001024328,0.002771683,0.002864933,0.002088613,0.1662359],"category_scores_gemma":[0.006042546,0.000938733,0.001179758,0.01011855,0.0004389594,0.002487487,0.002578162,0.002057486,0.2316205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536891,"about_ca_system_score_gemma":0.002264577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0189715,"about_ca_topic_score_gemma":0.03230121,"domain_scores_codex":[0.9989218,0.000149528,0.0001388649,0.0003801386,0.0002345605,0.000175189],"domain_scores_gemma":[0.997498,0.0007137799,0.0002317196,0.000659853,0.0006005072,0.000296097],"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":[0.00002833602,0.00001099284,0.0003475035,0.0005299235,0.00001432737,0.00001421525,0.00002171583,0.0001135488,0.0001086697,0.0003659806,0.997141,0.001303831],"study_design_scores_gemma":[0.00007134423,0.000008130988,0.001781127,0.0001880355,0.00001382101,0.00003557426,0.0000700763,0.0001390597,0.000172927,0.0007526744,0.9967501,0.00001708836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004057766,0.00002787872,0.00004381796,0.00003503451,0.0000124173,0.000005203156,0.9988481,0.0003445052,0.0006425353],"genre_scores_gemma":[0.0001503068,0.00003343138,0.0001825712,0.0000428983,0.000003585315,0.00004064704,0.998934,0.0001405337,0.0004721044],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8337641,"threshold_uncertainty_score":0.5561144,"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."}}