{"id":"W6962176066","doi":"10.15468/dl.xsah3j","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); Herbarium; Range (aeronautics); Data set","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":[0.001012153,0.002198339,0.001642383,0.0053388,0.001035443,0.00266247,0.003104494,0.002051488,0.1712694],"category_scores_gemma":[0.006609542,0.0009786385,0.001307752,0.009697851,0.0004673879,0.002696953,0.002685454,0.00209453,0.2274286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859116,"about_ca_system_score_gemma":0.00239096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02753625,"about_ca_topic_score_gemma":0.03986195,"domain_scores_codex":[0.9989139,0.0001362169,0.0001324775,0.0003919663,0.0002502884,0.0001751502],"domain_scores_gemma":[0.9972977,0.0007716347,0.0002229272,0.0007598984,0.0006350473,0.0003128038],"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":[0.00002973706,0.00001110204,0.0003193552,0.0004378833,0.00001261485,0.00001426777,0.0000221371,0.0001205649,0.00009622328,0.0003325992,0.9972526,0.001350916],"study_design_scores_gemma":[0.00007528084,0.000008857296,0.00202332,0.0001664688,0.00001404628,0.00003948779,0.00008290249,0.0002022171,0.0002143151,0.0007495271,0.9964043,0.00001930096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004174164,0.00002121586,0.00004609104,0.00003858094,0.00001168132,0.000005581174,0.9987134,0.0004944337,0.0006272855],"genre_scores_gemma":[0.0001492607,0.00002552444,0.0001915383,0.00003722148,0.000003205293,0.00003956606,0.9988888,0.0001678727,0.0004969762],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8287306,"threshold_uncertainty_score":0.5729531,"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."}}