{"id":"W6905939674","doi":"10.15468/dl.yghh3m","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); Confidentiality; Range (aeronautics); Identification (biology)","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":[0.001065279,0.002049391,0.001580909,0.005080437,0.001018409,0.002530684,0.002982794,0.00215775,0.1530742],"category_scores_gemma":[0.005937733,0.0009356796,0.00117843,0.009899527,0.0004811475,0.002336323,0.002534183,0.002057747,0.2153204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593138,"about_ca_system_score_gemma":0.002261358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02038655,"about_ca_topic_score_gemma":0.03337172,"domain_scores_codex":[0.9989567,0.0001489401,0.000131328,0.0003663026,0.0002258566,0.0001708199],"domain_scores_gemma":[0.9974927,0.0007165756,0.0002296885,0.0006774709,0.0005990802,0.000284484],"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":[0.00002883102,0.00001241122,0.0003630882,0.0005416286,0.00001542191,0.00001598633,0.00002432947,0.0001398591,0.000123897,0.0003755296,0.996989,0.001370085],"study_design_scores_gemma":[0.00007451358,0.000008225456,0.001761262,0.0001798265,0.00001421199,0.00003936146,0.00007390981,0.0001635954,0.0001963645,0.0007988516,0.9966714,0.00001844159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004555092,0.00002898047,0.0000484899,0.00003751257,0.00001316672,0.000005758914,0.9987786,0.0003914678,0.0006503871],"genre_scores_gemma":[0.0001610933,0.00003152468,0.0001975581,0.00004424197,0.000003428957,0.00004215801,0.9989529,0.0001436082,0.0004235699],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8469257,"threshold_uncertainty_score":0.5120844,"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."}}