{"id":"W6962020216","doi":"10.15468/dl.qvtnhh","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; 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":[0.001085965,0.001941847,0.001648696,0.005288368,0.001027881,0.002788756,0.002901067,0.002007321,0.1715893],"category_scores_gemma":[0.006540554,0.0009764982,0.001157605,0.01054333,0.0004479405,0.002427908,0.002647619,0.00200897,0.2306094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610107,"about_ca_system_score_gemma":0.002377731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0209258,"about_ca_topic_score_gemma":0.03496478,"domain_scores_codex":[0.9988452,0.0001574368,0.0001559056,0.0003999518,0.0002566464,0.0001848653],"domain_scores_gemma":[0.9973232,0.0007801625,0.0002545564,0.000704255,0.0006343759,0.0003034676],"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":[0.000027313,0.000009999227,0.0003472926,0.0005120864,0.00001446215,0.00001434937,0.00002255726,0.0001118237,0.00009821337,0.0003719294,0.9972056,0.001264374],"study_design_scores_gemma":[0.00007014594,0.000007189419,0.001752543,0.0001874678,0.00001418107,0.00003659674,0.00007081944,0.0001394116,0.0001670329,0.000750904,0.9967867,0.00001703029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003437178,0.00002249376,0.00004215799,0.00003155678,0.00001028219,0.000004549677,0.998941,0.0003282102,0.0005854716],"genre_scores_gemma":[0.0001477614,0.00003142478,0.0001817379,0.00004129315,0.000003256313,0.00003945213,0.9989472,0.0001528667,0.0004550463],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8284107,"threshold_uncertainty_score":0.5740233,"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."}}