{"id":"W6962047612","doi":"10.15468/dl.qjkf6r","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); State (computer science); Confidentiality","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":[0.001028583,0.002018145,0.001528024,0.004866831,0.001001798,0.002550814,0.002848272,0.002196227,0.1563235],"category_scores_gemma":[0.005978831,0.0009155012,0.001184425,0.009167431,0.000471477,0.002480201,0.002610434,0.002105483,0.2156193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605831,"about_ca_system_score_gemma":0.002243124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026555,"about_ca_topic_score_gemma":0.03422664,"domain_scores_codex":[0.9989401,0.0001557444,0.0001334557,0.0003796281,0.0002205372,0.0001705901],"domain_scores_gemma":[0.9973525,0.0007714474,0.0002399553,0.0007167889,0.0006263126,0.0002930727],"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":[0.00002730269,0.0000117735,0.0003486888,0.0004821798,0.00001358172,0.00001440963,0.00002282009,0.0001271585,0.0001017287,0.0003675086,0.9972569,0.001225878],"study_design_scores_gemma":[0.00007570259,0.000008323082,0.001734692,0.0001806964,0.0000134676,0.00003757524,0.00007855603,0.0001670867,0.0001796347,0.0008419245,0.9966639,0.00001851925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004167178,0.00002445717,0.00004575559,0.00003828145,0.00001263323,0.000005506672,0.9988644,0.0003579322,0.0006094584],"genre_scores_gemma":[0.0001652026,0.00003036115,0.0002021001,0.00004693784,0.000003686666,0.0000440055,0.998902,0.0001420675,0.0004637098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8436765,"threshold_uncertainty_score":0.5229542,"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."}}