{"id":"W6905789205","doi":"10.15468/dl.z9pqu8","title":"Occurrence Download","year":2024,"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":[0.0008784165,0.001877149,0.001550643,0.005143177,0.001075477,0.002845151,0.002884697,0.002003405,0.1873094],"category_scores_gemma":[0.00613902,0.0009595539,0.001267951,0.01049783,0.0004448809,0.002527822,0.002670654,0.002101828,0.2610947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580343,"about_ca_system_score_gemma":0.00242055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02128626,"about_ca_topic_score_gemma":0.03539257,"domain_scores_codex":[0.9989734,0.0001368386,0.0001350114,0.0003693698,0.0002165184,0.0001688837],"domain_scores_gemma":[0.9976711,0.0006608694,0.0001966115,0.0006177102,0.0005955209,0.0002582003],"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":[0.00002618337,0.000009683219,0.0003337014,0.0005276593,0.00001292961,0.00001433536,0.00002453515,0.0001036681,0.0001029696,0.0003866855,0.9968791,0.00157861],"study_design_scores_gemma":[0.00005458847,0.000005987357,0.001331707,0.0001659402,0.00001167917,0.00003160944,0.00006850057,0.0001245328,0.0001498731,0.0007115186,0.9973298,0.00001425839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003908648,0.00002932673,0.00005213149,0.00003944567,0.0000131058,0.000005511244,0.9985713,0.0004562273,0.0007938115],"genre_scores_gemma":[0.0001582204,0.00004006138,0.0002343905,0.00005211427,0.000003858837,0.0000456059,0.9986528,0.0001961185,0.0006167863],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8126906,"threshold_uncertainty_score":0.6266123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}