{"id":"W6905944910","doi":"10.15468/dl.znn6t7","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); Order (exchange); 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":[0.001122024,0.00191473,0.00166665,0.005064568,0.001057233,0.002877244,0.002987761,0.001997109,0.1850076],"category_scores_gemma":[0.006814429,0.0009926576,0.001182755,0.01049469,0.0004586409,0.002460011,0.002695223,0.002097784,0.2426911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596509,"about_ca_system_score_gemma":0.00247182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02128183,"about_ca_topic_score_gemma":0.03526339,"domain_scores_codex":[0.9988701,0.0001522401,0.000145715,0.0003941308,0.000256213,0.0001815686],"domain_scores_gemma":[0.997251,0.0008057324,0.0002474257,0.0007157941,0.0006758817,0.0003042434],"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":[0.00002481585,0.000009386898,0.0003123434,0.000484277,0.00001340594,0.0000127823,0.00002195439,0.000101871,0.00009619867,0.000382966,0.9973115,0.001228448],"study_design_scores_gemma":[0.00006216358,0.00000627694,0.001512846,0.0001794281,0.00001287607,0.00003139811,0.00006657549,0.0001204962,0.0001699147,0.0007847747,0.9970368,0.00001651383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003301739,0.00002259015,0.00004641173,0.00003299431,0.00001109028,0.000004813538,0.9988368,0.00035609,0.0006561231],"genre_scores_gemma":[0.0001479401,0.00003254207,0.0001972554,0.0000441749,0.00000335072,0.00004331503,0.9988463,0.0001812638,0.000503872],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8149924,"threshold_uncertainty_score":0.618912,"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."}}