{"id":"W6962371539","doi":"10.15468/dl.xngiwh","title":"Occurrence Download","year":2018,"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; 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":[0.00102077,0.002099448,0.001663133,0.004743439,0.001099222,0.002790912,0.003270207,0.00214166,0.1466817],"category_scores_gemma":[0.006234803,0.000920918,0.00129859,0.009451715,0.0004683471,0.002448606,0.002793259,0.002280604,0.2252646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653902,"about_ca_system_score_gemma":0.00254076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02331116,"about_ca_topic_score_gemma":0.03890635,"domain_scores_codex":[0.9989085,0.0001418392,0.0001314902,0.0003763269,0.000256153,0.0001857258],"domain_scores_gemma":[0.9975552,0.0006245472,0.0002147668,0.0007033307,0.0006104794,0.0002916249],"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":[0.00002562228,0.00001139462,0.0003290812,0.0003945376,0.00001329932,0.00001386144,0.00002190835,0.0001113859,0.00008792961,0.0003557899,0.9974009,0.001234274],"study_design_scores_gemma":[0.00007119696,0.000007798348,0.00172572,0.0001733235,0.00001362538,0.00003834413,0.00007326285,0.0001814821,0.000187424,0.000840105,0.9966705,0.00001719459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004802909,0.00003020747,0.00005517032,0.00004450428,0.00001466259,0.000005901932,0.9985752,0.0005323552,0.0006939907],"genre_scores_gemma":[0.000145514,0.00003013638,0.0001923615,0.00004106462,0.000003350822,0.00003808938,0.9989327,0.0001609572,0.0004559834],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8533183,"threshold_uncertainty_score":0.4906992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}