{"id":"W6887337580","doi":"10.15468/dl.xm7nuf","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":[0.0009773602,0.001902438,0.001607328,0.004670748,0.001039442,0.002559422,0.002729632,0.002103083,0.161367],"category_scores_gemma":[0.005957459,0.0009166067,0.001301164,0.009320028,0.0004512758,0.002480645,0.00259772,0.002069623,0.2365307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599294,"about_ca_system_score_gemma":0.002441368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0225837,"about_ca_topic_score_gemma":0.03822336,"domain_scores_codex":[0.9989036,0.0001574214,0.000134162,0.0003904995,0.0002360942,0.0001781419],"domain_scores_gemma":[0.9972882,0.0007805816,0.0002245371,0.0007363278,0.0006812537,0.000289085],"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":[0.00002841825,0.00001210875,0.0003552073,0.0005260815,0.00001314529,0.00001423813,0.00002306058,0.0001117611,0.0001162161,0.0003497501,0.9970835,0.001366663],"study_design_scores_gemma":[0.00006447928,0.000008893141,0.001841336,0.0001942767,0.00001360358,0.0000332801,0.00007582837,0.0001428582,0.0001861931,0.0007359023,0.9966864,0.00001695035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004519165,0.00002845394,0.00004458207,0.00004165426,0.0000135561,0.000006224881,0.9986909,0.0004246579,0.0007048866],"genre_scores_gemma":[0.0001546281,0.00003462441,0.0001956127,0.00004807747,0.000003668396,0.0000430268,0.9988722,0.0001510651,0.000496982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.838633,"threshold_uncertainty_score":0.5398264,"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."}}