{"id":"W6943039706","doi":"10.15468/dl.pw6a2u","title":"Occurrence Download","year":2020,"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); Data set; Set (abstract data type)","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":[0.0009619233,0.001886407,0.001511083,0.005478007,0.0008335654,0.002351007,0.002610995,0.001821018,0.1590995],"category_scores_gemma":[0.005390539,0.0008745015,0.001084156,0.01060523,0.0004405611,0.002136781,0.002502471,0.001774369,0.2105362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522355,"about_ca_system_score_gemma":0.00226649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02068178,"about_ca_topic_score_gemma":0.03260126,"domain_scores_codex":[0.9990296,0.0001205179,0.0001357034,0.000317076,0.0002200985,0.0001770036],"domain_scores_gemma":[0.99763,0.0006000107,0.0002398888,0.0006238327,0.0005986613,0.0003075643],"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":[0.00003924101,0.00001288705,0.000425541,0.0006388401,0.00001669559,0.00001768282,0.0000256582,0.0001406377,0.0001656234,0.0004276137,0.9963951,0.001694534],"study_design_scores_gemma":[0.0000765602,0.000009199704,0.002246,0.000190275,0.00001437071,0.00003880715,0.00007132378,0.0001386755,0.0002215461,0.0007085467,0.9962668,0.00001795622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003844134,0.00001997301,0.00003199225,0.00002512071,0.000008855338,0.000004521713,0.9990716,0.0002790131,0.0005204711],"genre_scores_gemma":[0.0001424421,0.00002756233,0.0001496693,0.00003532366,0.000002871984,0.00003333236,0.9991174,0.000112028,0.0003793267],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8409005,"threshold_uncertainty_score":0.5322407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}