{"id":"W6887189956","doi":"10.15468/dl.tvkbha","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); The Internet; 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":[0.001072716,0.001985006,0.001654415,0.004939954,0.001028892,0.002574215,0.002977245,0.002119544,0.1718514],"category_scores_gemma":[0.006448493,0.0009704743,0.001192681,0.009714589,0.0004754782,0.002326688,0.002706852,0.002209883,0.2304741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718507,"about_ca_system_score_gemma":0.002467037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02194337,"about_ca_topic_score_gemma":0.03584788,"domain_scores_codex":[0.9989312,0.0001384659,0.000135096,0.0003666611,0.0002549478,0.0001735962],"domain_scores_gemma":[0.9973348,0.0007522721,0.0002394584,0.0007358567,0.0006367465,0.0003008755],"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":[0.00002736604,0.00001131343,0.0003498635,0.0004912789,0.0000137842,0.00001386434,0.00002485993,0.0001267301,0.0001098464,0.0003861546,0.9969823,0.001462659],"study_design_scores_gemma":[0.00006809893,0.000007107645,0.001644668,0.0001800613,0.00001318668,0.00003323656,0.00006965503,0.0001410008,0.0001892227,0.0007093202,0.9969283,0.00001620579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003732472,0.00002234816,0.0000430377,0.00003415203,0.00001099727,0.000005069453,0.9988872,0.0003584219,0.0006015331],"genre_scores_gemma":[0.0001416807,0.000028666,0.0001977886,0.00003821432,0.000002875492,0.00004192229,0.9989021,0.0001549467,0.0004917785],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8281486,"threshold_uncertainty_score":0.5749003,"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."}}