{"id":"W6887100056","doi":"10.15468/dl.pnvmyh","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); 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":[0.0009842311,0.001899379,0.001534156,0.004733288,0.0009719145,0.002549405,0.002731896,0.002042527,0.1706105],"category_scores_gemma":[0.005973021,0.000907076,0.001234935,0.008789057,0.0004431061,0.002254484,0.002507069,0.001954468,0.2316691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001510874,"about_ca_system_score_gemma":0.002216885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02217895,"about_ca_topic_score_gemma":0.03466214,"domain_scores_codex":[0.9990492,0.0001329179,0.0001136567,0.0003363516,0.0002091976,0.0001586035],"domain_scores_gemma":[0.997583,0.0007478458,0.0002032794,0.0006119771,0.000583617,0.0002702333],"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":[0.00002507053,0.0000111309,0.0003703178,0.0004835968,0.00001352166,0.00001518356,0.00002235692,0.0001161919,0.0001094694,0.0003211783,0.9971329,0.00137911],"study_design_scores_gemma":[0.00007280213,0.000008909722,0.002004578,0.0002074808,0.00001511859,0.00003919684,0.00008223052,0.0001727757,0.0001883847,0.0007592783,0.9964311,0.0000181574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004428289,0.00002716911,0.00004673781,0.00004089695,0.00001327668,0.000006035821,0.9987561,0.0004071531,0.0006582987],"genre_scores_gemma":[0.0001796003,0.00003436632,0.0002098804,0.00005251385,0.000004121319,0.00004978602,0.9987938,0.0001678174,0.0005080007],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8293895,"threshold_uncertainty_score":0.570749,"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."}}