{"id":"W6924559972","doi":"10.15468/dl.muannb","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); Set (abstract data type); State (computer science)","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":[0.001108483,0.001930762,0.001693444,0.005396468,0.001052339,0.00279794,0.002942719,0.001980557,0.1858257],"category_scores_gemma":[0.006625591,0.0009985241,0.00116385,0.01111793,0.0004640361,0.002425693,0.002732172,0.002076014,0.2433611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578246,"about_ca_system_score_gemma":0.002483153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02134338,"about_ca_topic_score_gemma":0.0350819,"domain_scores_codex":[0.998841,0.0001552148,0.0001523599,0.0003999553,0.0002638239,0.000187569],"domain_scores_gemma":[0.9972163,0.0008033692,0.0002587685,0.0007238298,0.0006866894,0.0003110584],"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":[0.0000258703,0.00000986227,0.0003226341,0.0005111387,0.00001403916,0.0000133307,0.00002379008,0.0001060516,0.0001044524,0.0003802977,0.9971662,0.001322377],"study_design_scores_gemma":[0.00006199098,0.000006551322,0.001587061,0.0001880337,0.00001361933,0.0000330929,0.00007128711,0.000116642,0.0001705428,0.0007427675,0.9969918,0.00001662423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003376817,0.00002329551,0.00004535466,0.00003169438,0.00001092703,0.000004598635,0.9988906,0.0003404092,0.0006194017],"genre_scores_gemma":[0.0001447881,0.00003302701,0.0001937542,0.00004187347,0.000003199997,0.00004009902,0.9988813,0.0001747469,0.0004872579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8141743,"threshold_uncertainty_score":0.6216489,"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."}}