{"id":"W6943128153","doi":"10.15468/dl.rjbsvh","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); 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":[0.000871076,0.002084312,0.001634955,0.005052698,0.001090067,0.002573093,0.003038549,0.002093921,0.1543476],"category_scores_gemma":[0.005596322,0.0009789454,0.001339918,0.009848791,0.0004346883,0.0024087,0.002548412,0.002136535,0.2316252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676609,"about_ca_system_score_gemma":0.00247608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02193201,"about_ca_topic_score_gemma":0.03763635,"domain_scores_codex":[0.9989342,0.0001297353,0.0001390448,0.0003786378,0.0002450851,0.0001732165],"domain_scores_gemma":[0.9975984,0.0006316883,0.0002135473,0.0006636434,0.0006147008,0.0002780506],"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":[0.00003301954,0.00001270847,0.000403275,0.0005337787,0.00001421225,0.00001713319,0.00002265078,0.0001297898,0.000124058,0.0003503233,0.9966696,0.001689439],"study_design_scores_gemma":[0.00006857498,0.000008486842,0.001879223,0.000165121,0.00001361652,0.00004075374,0.00007063097,0.0001894622,0.0002092575,0.000690076,0.9966475,0.0000173589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004783899,0.00002803609,0.00005017262,0.00003824503,0.00001348859,0.000006098018,0.9985978,0.000503098,0.0007153169],"genre_scores_gemma":[0.0001443298,0.00002947166,0.0002059196,0.00003875074,0.000003352924,0.00004071365,0.9989028,0.0001367728,0.0004979242],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8456524,"threshold_uncertainty_score":0.5163441,"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."}}