{"id":"W6943223565","doi":"10.15468/dl.pu4frh","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":[0.0009634909,0.001857475,0.001492139,0.005311233,0.0009495092,0.002719199,0.002760792,0.001852591,0.1811347],"category_scores_gemma":[0.005888508,0.0009076509,0.0011315,0.01117115,0.0004188983,0.002526183,0.00251375,0.001876043,0.2515129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712334,"about_ca_system_score_gemma":0.00252677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0278756,"about_ca_topic_score_gemma":0.04554992,"domain_scores_codex":[0.9989637,0.0001327831,0.0001258619,0.0003610468,0.0002356641,0.0001809522],"domain_scores_gemma":[0.9974945,0.0006709018,0.0002328867,0.0006324531,0.0006619303,0.0003072739],"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":[0.00002480356,0.000008389907,0.0003117129,0.0004471409,0.00001247129,0.0000115553,0.00001936667,0.0001048621,0.00008879005,0.0003849012,0.9973012,0.001284949],"study_design_scores_gemma":[0.0000539375,0.000006565089,0.001615008,0.0001694341,0.00001179475,0.00002729494,0.00006436957,0.0001254662,0.0001533436,0.0007568015,0.9970004,0.00001563474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002897289,0.00002206039,0.000034776,0.00003069668,0.000009873742,0.000003858487,0.9988995,0.0003089092,0.0006613028],"genre_scores_gemma":[0.0001358617,0.00003299525,0.0001582946,0.00004210652,0.000003297321,0.00002995066,0.9989135,0.0001441757,0.0005397984],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8188653,"threshold_uncertainty_score":0.6059559,"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."}}