{"id":"W6943525940","doi":"10.15468/dl.mrwuxr","title":"Occurrence Download","year":2015,"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":[0.0009957834,0.001777726,0.001504296,0.005148,0.0008647364,0.002578534,0.002651117,0.001812602,0.1601951],"category_scores_gemma":[0.006399469,0.0008545695,0.001099088,0.0101606,0.0004035717,0.002253578,0.002533705,0.001841896,0.2161111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611425,"about_ca_system_score_gemma":0.002406264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02336602,"about_ca_topic_score_gemma":0.03705721,"domain_scores_codex":[0.9989743,0.0001400656,0.0001372491,0.0003446234,0.0002364232,0.0001672694],"domain_scores_gemma":[0.9974453,0.0007161566,0.0002625766,0.0006569519,0.0006270787,0.0002919696],"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":[0.00002406313,0.000009334815,0.0003977115,0.0004724685,0.00001528763,0.00001238699,0.00002249318,0.0001250552,0.00008348421,0.0003864824,0.9969994,0.001451862],"study_design_scores_gemma":[0.00005880429,0.000006640634,0.002026674,0.0001998992,0.00001455846,0.00003254007,0.00006717967,0.0001495141,0.00015404,0.0007727062,0.9965016,0.00001576414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003886327,0.000028391,0.0000439539,0.00003436036,0.00001049148,0.00000445636,0.9988576,0.0003348826,0.0006469798],"genre_scores_gemma":[0.0001596092,0.00003420144,0.000174603,0.00003783135,0.000003138302,0.00003344902,0.9989539,0.0001293793,0.0004739275],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8398049,"threshold_uncertainty_score":0.535906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}