{"id":"W6943600183","doi":"10.15468/dl.s8yyuv","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":[0.001041275,0.002135374,0.001720987,0.00556762,0.0009537917,0.002624754,0.002994244,0.00206642,0.1696466],"category_scores_gemma":[0.006112625,0.0009745753,0.001156587,0.01146875,0.0004628124,0.002334899,0.002575228,0.001960214,0.2169978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722341,"about_ca_system_score_gemma":0.002638912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02619011,"about_ca_topic_score_gemma":0.03875349,"domain_scores_codex":[0.9989373,0.0001289399,0.0001396879,0.0003617943,0.0002445766,0.0001876955],"domain_scores_gemma":[0.9975078,0.0006820538,0.0002403252,0.0006258191,0.0006241002,0.00031994],"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":[0.00003413114,0.00001146003,0.0003526742,0.0005802566,0.00001579374,0.00001636846,0.00002509555,0.0001331313,0.0001295846,0.0004017904,0.9968988,0.0014009],"study_design_scores_gemma":[0.00007950768,0.000008021389,0.002033056,0.0001875076,0.00001547815,0.00003847378,0.00007173768,0.000153732,0.0002152992,0.0007725682,0.9964049,0.00001974215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003291759,0.00001974879,0.00003506904,0.0000260036,0.000008647024,0.000004163481,0.9990089,0.0003299442,0.0005345878],"genre_scores_gemma":[0.000133384,0.00002599159,0.0001586089,0.00003415895,0.000002608077,0.00003246329,0.9990886,0.0001344273,0.0003896934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8303534,"threshold_uncertainty_score":0.5675246,"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."}}