{"id":"W6962361403","doi":"10.15468/dl.m9kxjf","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); Identification (biology); Order (exchange)","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":[0.001088158,0.00201169,0.001700916,0.005044722,0.001063185,0.002601177,0.003053318,0.002154922,0.1855833],"category_scores_gemma":[0.006899413,0.0009995946,0.001183718,0.009961231,0.0004798025,0.002466872,0.002766737,0.002179654,0.2359225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746252,"about_ca_system_score_gemma":0.0024882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02170741,"about_ca_topic_score_gemma":0.03466972,"domain_scores_codex":[0.9989171,0.0001375056,0.0001398859,0.0003729337,0.0002587045,0.0001738088],"domain_scores_gemma":[0.9971451,0.0008320956,0.0002564327,0.0007635411,0.0006819824,0.0003208476],"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":[0.00002749684,0.00001124832,0.0003242567,0.0005069948,0.00001279666,0.00001384127,0.00002371023,0.0001164496,0.0001034725,0.0003522344,0.9970906,0.001416864],"study_design_scores_gemma":[0.00006997492,0.000007435205,0.001616172,0.0001762945,0.0000127775,0.0000328967,0.00007045537,0.000141907,0.0001845994,0.0006446755,0.9970269,0.00001593107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003721625,0.0000221667,0.00004318016,0.00003591617,0.00001171506,0.000005458612,0.9988322,0.0003837937,0.0006283855],"genre_scores_gemma":[0.0001494324,0.00002976592,0.000207668,0.00004101774,0.000003151516,0.0000466741,0.9988386,0.0001653611,0.000518391],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8144167,"threshold_uncertainty_score":0.620838,"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."}}