{"id":"W6887090731","doi":"10.15468/dl.qrppy2","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); Alien; The Internet","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":[0.001003296,0.001823325,0.001541545,0.004939178,0.001000738,0.002547945,0.002715428,0.002078989,0.1615851],"category_scores_gemma":[0.006079034,0.0008897154,0.001180203,0.009676269,0.0004476663,0.002380671,0.002516261,0.00199522,0.2157309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593833,"about_ca_system_score_gemma":0.002312133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02253903,"about_ca_topic_score_gemma":0.03558928,"domain_scores_codex":[0.9989686,0.0001409717,0.0001335103,0.000361222,0.0002251051,0.0001707008],"domain_scores_gemma":[0.9973956,0.000769447,0.0002385967,0.0006797405,0.0006310557,0.0002854409],"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":[0.00002766419,0.00001137754,0.0003783382,0.0005075682,0.00001331479,0.00001491369,0.00002353279,0.0001207414,0.0001139185,0.0003780747,0.9970072,0.001403487],"study_design_scores_gemma":[0.00006794446,0.000008214904,0.00196995,0.0001957458,0.0000136216,0.00003703067,0.00007921769,0.0001448375,0.0001814974,0.0007635894,0.9965204,0.00001799537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004155522,0.00002377844,0.0000422952,0.00003619471,0.0000115489,0.000005233772,0.9989012,0.0003311386,0.0006070234],"genre_scores_gemma":[0.0001628413,0.00003233768,0.0002003488,0.0000450912,0.000003430722,0.00004391077,0.9988992,0.0001379139,0.0004749904],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8384149,"threshold_uncertainty_score":0.5405561,"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."}}