{"id":"W6962328736","doi":"10.15468/dl.nq8c95","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); 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":[0.001094812,0.001946706,0.001599133,0.005042028,0.001006645,0.002642543,0.002815435,0.002037708,0.1737124],"category_scores_gemma":[0.006372015,0.0009575397,0.001144185,0.009901302,0.0004412052,0.002271358,0.002585719,0.002014377,0.233607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626404,"about_ca_system_score_gemma":0.002436035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02247333,"about_ca_topic_score_gemma":0.03570369,"domain_scores_codex":[0.9989358,0.0001427875,0.0001397458,0.0003676352,0.0002404139,0.0001736379],"domain_scores_gemma":[0.9973647,0.0007615158,0.0002475413,0.0006735579,0.0006607585,0.000292049],"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":[0.00002625465,0.00001016835,0.0003344095,0.0005309377,0.0000147256,0.00001405269,0.00002215238,0.0001137601,0.0001086273,0.0003730268,0.9972307,0.001221269],"study_design_scores_gemma":[0.00007145528,0.000007455538,0.001798462,0.0001911183,0.00001476726,0.00003437439,0.00006798364,0.0001338027,0.000178195,0.0007298214,0.9967547,0.00001791346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000311415,0.00002166119,0.00003878817,0.00003142246,0.00001082773,0.000004686108,0.9989765,0.0003121847,0.0005727859],"genre_scores_gemma":[0.000139975,0.00003049045,0.0001796121,0.00004206972,0.00000331965,0.00004196469,0.9989706,0.0001467593,0.000445184],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8262876,"threshold_uncertainty_score":0.5811259,"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."}}