{"id":"W6961969003","doi":"10.15468/dl.ptkw4a","title":"Occurrence Download","year":2021,"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); Order (exchange); The Internet","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":[0.000984428,0.001925158,0.001694458,0.005326329,0.0009268258,0.002484779,0.002802935,0.002004855,0.1671987],"category_scores_gemma":[0.005987296,0.0009170238,0.001095194,0.01091991,0.000446947,0.00218341,0.002372329,0.001957964,0.2212305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542149,"about_ca_system_score_gemma":0.002321406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02013864,"about_ca_topic_score_gemma":0.03346489,"domain_scores_codex":[0.9990019,0.0001335603,0.0001329959,0.0003436796,0.0002231466,0.0001646587],"domain_scores_gemma":[0.9974377,0.0007429789,0.0002551111,0.0006488435,0.0006271417,0.0002881149],"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":[0.00002949068,0.00001114974,0.0003835245,0.0005775493,0.00001615415,0.00001449679,0.00002376457,0.0001346796,0.0001159998,0.000370199,0.996843,0.001480055],"study_design_scores_gemma":[0.00007370229,0.000007887921,0.001981538,0.0001991528,0.0000153696,0.00003459869,0.00007061782,0.0001412158,0.0001893114,0.0007236014,0.9965456,0.00001752076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003511543,0.0000233339,0.00003567505,0.00002665555,0.000008838416,0.000004368271,0.9990633,0.0002837061,0.0005188764],"genre_scores_gemma":[0.0001497171,0.00002913667,0.0001735132,0.00003482922,0.000002984875,0.00003791652,0.9990162,0.0001243658,0.0004313173],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8328013,"threshold_uncertainty_score":0.5593355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}