{"id":"W6943569207","doi":"10.15468/dl.r3dmdy","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); Data collection","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":[0.001114031,0.001954533,0.001547683,0.005075138,0.000991968,0.0025836,0.002786779,0.001954304,0.1600107],"category_scores_gemma":[0.006339943,0.0009517895,0.0011308,0.01000036,0.0004502544,0.002247845,0.002595208,0.001939221,0.2168383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001644297,"about_ca_system_score_gemma":0.002440756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02280108,"about_ca_topic_score_gemma":0.03599633,"domain_scores_codex":[0.9988925,0.0001435845,0.000145654,0.0003883323,0.0002530479,0.0001770006],"domain_scores_gemma":[0.9973384,0.0007580236,0.0002497966,0.0006968737,0.0006584284,0.0002984968],"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":[0.00002878934,0.00001063841,0.0003855175,0.0005301218,0.00001503701,0.00001560046,0.00002491818,0.0001152978,0.0001205649,0.0003905169,0.9970393,0.001323655],"study_design_scores_gemma":[0.00007143797,0.0000073678,0.001916854,0.0001852093,0.00001445356,0.00003858754,0.00007211371,0.0001369692,0.0001944025,0.0007119534,0.996633,0.00001766545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003611099,0.00002238539,0.00004235089,0.00003059081,0.00001004656,0.000004712651,0.9989286,0.0003335399,0.0005916285],"genre_scores_gemma":[0.0001579558,0.00003117367,0.0001897622,0.00004060744,0.000003185875,0.00004148282,0.998955,0.0001527135,0.0004279387],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8399892,"threshold_uncertainty_score":0.5352893,"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."}}