{"id":"W6962058365","doi":"10.15468/dl.pnjw3n","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); 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":[0.001053076,0.002030086,0.00165576,0.005852046,0.0009572014,0.002503905,0.002931066,0.002010861,0.1657598],"category_scores_gemma":[0.006011671,0.0009835571,0.001144103,0.01085799,0.00046492,0.002308235,0.002764734,0.002076556,0.2296036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627631,"about_ca_system_score_gemma":0.002426108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01940797,"about_ca_topic_score_gemma":0.03296458,"domain_scores_codex":[0.9988599,0.0001460535,0.0001540615,0.0003762321,0.0002756236,0.0001881572],"domain_scores_gemma":[0.9971705,0.0007165043,0.0002816716,0.0007803353,0.0007069833,0.0003439706],"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":[0.00003169022,0.00001254498,0.0003721531,0.0005488369,0.00001448239,0.00001549217,0.00002429467,0.0001231197,0.0001369774,0.0003824295,0.9968106,0.001527392],"study_design_scores_gemma":[0.00006849866,0.000007665141,0.001844856,0.0001670905,0.00001286747,0.00003567813,0.00006844687,0.0001205373,0.0002078492,0.0006436682,0.9968057,0.00001720248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003902107,0.00002073482,0.00003850442,0.00002856675,0.000009677367,0.000005301297,0.9989299,0.0003403095,0.0005880478],"genre_scores_gemma":[0.000145001,0.00002820815,0.0001944112,0.00003600145,0.000002924908,0.0000391003,0.9989718,0.0001382463,0.000444319],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8342402,"threshold_uncertainty_score":0.5545218,"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."}}