{"id":"W6962202748","doi":"10.15468/dl.z45u5v","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); Ardea; Mondrian","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":[0.0008802921,0.001931317,0.001542391,0.005071724,0.001080149,0.002843034,0.002831089,0.002203916,0.1712317],"category_scores_gemma":[0.006179744,0.0009403205,0.001310531,0.01092366,0.0004399277,0.00254518,0.002755634,0.002089613,0.230703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001749543,"about_ca_system_score_gemma":0.002495479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02339567,"about_ca_topic_score_gemma":0.03661574,"domain_scores_codex":[0.9989157,0.0001376728,0.0001434455,0.0003768144,0.0002440834,0.000182213],"domain_scores_gemma":[0.9976299,0.0006715943,0.0002033279,0.0006026676,0.0006401496,0.0002522558],"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":[0.00002925107,0.00001005143,0.0003711604,0.0005984891,0.0000145259,0.00001625428,0.00002469851,0.0001251173,0.0001145579,0.0004194772,0.9965204,0.001756053],"study_design_scores_gemma":[0.0000573642,0.000006569343,0.001366938,0.0001907532,0.00001220568,0.00003705241,0.00007312132,0.0001472561,0.0001672315,0.0007508456,0.9971747,0.00001595946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004052536,0.0000333294,0.00005582759,0.00004194385,0.00001386774,0.000005357376,0.9985764,0.0004814267,0.0007512753],"genre_scores_gemma":[0.0001814478,0.0000451071,0.0002591648,0.00005585776,0.000003966754,0.00004357743,0.9986645,0.0001917985,0.0005546476],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8287683,"threshold_uncertainty_score":0.5728271,"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."}}