{"id":"W6943552666","doi":"10.15468/dl.p6qzvt","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); Set (abstract data type); 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":[0.001153521,0.002037101,0.001706677,0.005881763,0.0009589909,0.002665411,0.002980961,0.002032737,0.1678641],"category_scores_gemma":[0.006354466,0.001030506,0.001219691,0.01204892,0.0004633988,0.002519436,0.002616403,0.002041813,0.2178939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680366,"about_ca_system_score_gemma":0.002526238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02256967,"about_ca_topic_score_gemma":0.03384719,"domain_scores_codex":[0.9988152,0.0001492815,0.0001634769,0.0003929047,0.0002818554,0.0001973281],"domain_scores_gemma":[0.9973526,0.0007165545,0.0002595084,0.0006934786,0.0006528529,0.0003249754],"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":[0.00003178195,0.00001060875,0.0003498011,0.0005297296,0.0000152008,0.00001481834,0.00002315337,0.0001282555,0.0001129167,0.0003972275,0.9969324,0.001454171],"study_design_scores_gemma":[0.00006757354,0.000007108939,0.001818865,0.0001758937,0.00001383488,0.00003676454,0.00006808092,0.0001404084,0.0001906318,0.0007036146,0.9967598,0.00001746611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003461412,0.000022411,0.00003845736,0.00003021822,0.00001035325,0.000004254222,0.9989772,0.0003173934,0.0005651554],"genre_scores_gemma":[0.000133933,0.00002902017,0.0001624245,0.00003491143,0.00000271837,0.00003286373,0.9990516,0.0001282192,0.0004243372],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8321359,"threshold_uncertainty_score":0.5615615,"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."}}