{"id":"W6887193231","doi":"10.15468/dl.udfnyz","title":"Occurrence Download","year":2022,"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":[0.001161754,0.001997174,0.001691416,0.005243692,0.001115407,0.002909781,0.003124403,0.002116367,0.1798989],"category_scores_gemma":[0.006741796,0.001031903,0.001211775,0.01032832,0.0004823322,0.002608806,0.002859373,0.002171708,0.2365257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633969,"about_ca_system_score_gemma":0.002478935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02093227,"about_ca_topic_score_gemma":0.03594779,"domain_scores_codex":[0.998814,0.0001631758,0.0001578597,0.0004149162,0.0002621672,0.0001878804],"domain_scores_gemma":[0.9971968,0.0008108771,0.0002535579,0.0007546754,0.0006735299,0.0003104761],"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":[0.00002745114,0.00001028508,0.0003279581,0.0005319038,0.00001460239,0.00001463832,0.00002480605,0.0001070093,0.0001078623,0.0004088406,0.9971378,0.001286845],"study_design_scores_gemma":[0.00006499091,0.000006615766,0.001520516,0.0001837423,0.00001349361,0.00003527495,0.00007028185,0.0001205158,0.0001690008,0.0007742489,0.9970242,0.0000171977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003442868,0.00002335904,0.00005095242,0.00003433389,0.00001173516,0.000005147631,0.9987929,0.0003792698,0.0006678759],"genre_scores_gemma":[0.0001422516,0.00003183259,0.0002110872,0.00004420078,0.000003259613,0.00004266147,0.9988635,0.0001803709,0.0004807627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8201011,"threshold_uncertainty_score":0.6018219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}