{"id":"W6943490440","doi":"10.15468/dl.lzdvjn","title":"Occurrence Download","year":2016,"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 set; Confidentiality","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":[0.001021093,0.002001541,0.001729632,0.005385899,0.0009317177,0.002756741,0.003072625,0.002119506,0.1504038],"category_scores_gemma":[0.006311466,0.0008987893,0.0011937,0.01087,0.000430528,0.00237959,0.002648737,0.002047193,0.2078519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158087,"about_ca_system_score_gemma":0.002415903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02003102,"about_ca_topic_score_gemma":0.03308653,"domain_scores_codex":[0.9989281,0.0001446744,0.0001435537,0.0003665362,0.000239735,0.0001773374],"domain_scores_gemma":[0.9974688,0.0006952634,0.0002632736,0.0006666354,0.0006043059,0.0003016818],"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":[0.00002994037,0.00001155591,0.000422385,0.0005931932,0.00001812034,0.00001583354,0.00002315365,0.0001327224,0.0001131119,0.0004052346,0.9967808,0.001453996],"study_design_scores_gemma":[0.00007904082,0.000008346061,0.002018872,0.000215804,0.00001649853,0.0000395167,0.0000659102,0.0001475618,0.0001822761,0.0007903664,0.9964179,0.0000179281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004066691,0.00003156425,0.00004005713,0.00003365205,0.00001085936,0.000004672306,0.9989489,0.0003220703,0.000567736],"genre_scores_gemma":[0.0001487155,0.00003510947,0.0001565624,0.00003872317,0.000003222599,0.00003495632,0.9990577,0.0001162086,0.0004087153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8495963,"threshold_uncertainty_score":0.5031507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}