{"id":"W6943243679","doi":"10.15468/dl.t2fzcw","title":"Occurrence Download","year":2022,"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; 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":[0.0009781249,0.001912505,0.001640734,0.00536956,0.0009565236,0.00252783,0.002765385,0.001951009,0.1670271],"category_scores_gemma":[0.005756127,0.000933771,0.001097443,0.01060569,0.0004538586,0.002240919,0.002537227,0.001927331,0.2190012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518534,"about_ca_system_score_gemma":0.002249787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02028237,"about_ca_topic_score_gemma":0.03422521,"domain_scores_codex":[0.9990355,0.0001298175,0.0001228026,0.0003389142,0.0002120904,0.0001609624],"domain_scores_gemma":[0.9976237,0.000680704,0.0002344947,0.0006170227,0.0005608489,0.0002831868],"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":[0.00003005444,0.00001104516,0.0003857744,0.0006328216,0.00001604062,0.0000162502,0.00002734516,0.0001311004,0.0001278079,0.0004210563,0.9967564,0.001444253],"study_design_scores_gemma":[0.00007133477,0.000007068294,0.001762848,0.0001904591,0.00001406367,0.00003469875,0.00007210884,0.0001185096,0.000171182,0.0007444473,0.9967965,0.00001674967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004058708,0.00002657319,0.00004248644,0.00002992041,0.00001022037,0.000004813231,0.9988779,0.000330579,0.0006368777],"genre_scores_gemma":[0.0001716265,0.00003551369,0.0001961893,0.00004254016,0.000003341779,0.00004341773,0.9988713,0.0001586329,0.000477386],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8329729,"threshold_uncertainty_score":0.5587614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}