{"id":"W6943589853","doi":"10.15468/dl.w6zwjq","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; Set (abstract data type)","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":[0.001098221,0.001952289,0.001729075,0.005481385,0.0009471348,0.002522999,0.002872625,0.0021406,0.1534295],"category_scores_gemma":[0.006634981,0.0009264417,0.001196131,0.01095826,0.0004518101,0.002219109,0.002368174,0.001991987,0.2020547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599264,"about_ca_system_score_gemma":0.002330516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01991302,"about_ca_topic_score_gemma":0.03144363,"domain_scores_codex":[0.998828,0.0001596523,0.0001646537,0.0003961307,0.0002651366,0.0001863929],"domain_scores_gemma":[0.9970981,0.0008521821,0.0002857318,0.0007435651,0.0007039933,0.0003164615],"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":[0.00003454572,0.00001306564,0.0004277455,0.0006162814,0.0000178779,0.00001622721,0.00002217116,0.0001526582,0.0001271493,0.0003717388,0.9967217,0.001478904],"study_design_scores_gemma":[0.00009382072,0.00001007968,0.002305809,0.0002207365,0.00001766489,0.00004080918,0.00007266024,0.0001753917,0.0002043283,0.000760249,0.9960789,0.00001941208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003825943,0.00002392577,0.00003334381,0.00002981145,0.000009202566,0.000004735874,0.9991432,0.0002651532,0.0004522891],"genre_scores_gemma":[0.0001480727,0.0000296122,0.0001599192,0.00003656538,0.000003148097,0.00003901723,0.9991195,0.0001002639,0.0003638988],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8465705,"threshold_uncertainty_score":0.5132728,"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."}}