{"id":"W6924758658","doi":"10.15468/dl.w4mqm5","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Data Visualization and Analytics","field":"Computer Science","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":[0.0009429186,0.001946393,0.001428478,0.004278174,0.001034321,0.002432869,0.002745496,0.002042165,0.1415053],"category_scores_gemma":[0.005968388,0.0008515181,0.001271168,0.007632059,0.0004476862,0.002345329,0.00261827,0.002211152,0.2042565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429816,"about_ca_system_score_gemma":0.002246066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01780213,"about_ca_topic_score_gemma":0.03216574,"domain_scores_codex":[0.999016,0.0001354873,0.0001175058,0.000349858,0.0002201492,0.0001608373],"domain_scores_gemma":[0.9975362,0.0006978447,0.0001978794,0.0006874608,0.0005970114,0.0002836723],"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":[0.00002534791,0.00001324639,0.0003511377,0.0003965341,0.00001111213,0.00001320451,0.0000197747,0.0001094255,0.0001000871,0.0003031187,0.9973342,0.001322879],"study_design_scores_gemma":[0.00008376809,0.00001021572,0.001892324,0.0001769438,0.00001329163,0.00004083352,0.00008326043,0.0002285629,0.0002385573,0.0009120036,0.9963013,0.00001884267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006142484,0.00002993402,0.00006066489,0.00005447428,0.00001788607,0.000009110539,0.9983321,0.0006661309,0.0007682797],"genre_scores_gemma":[0.0002090029,0.00003521529,0.0002882477,0.00006091635,0.000004943869,0.00006324339,0.998605,0.0002036511,0.0005298815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8584946,"threshold_uncertainty_score":0.4733825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001907944244022,"score_gpt":0.2472269526313814,"score_spread":0.2272078731889411,"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."}}