{"id":"W6943750227","doi":"10.15468/dl.zwemva","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); Identification (biology)","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":[0.001208799,0.002080798,0.001695496,0.005226851,0.001105045,0.002848352,0.003036631,0.002153771,0.1753439],"category_scores_gemma":[0.006803371,0.001025781,0.001209372,0.01019268,0.0004783903,0.002464892,0.002755294,0.002145351,0.2449012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001767478,"about_ca_system_score_gemma":0.002591055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02373197,"about_ca_topic_score_gemma":0.03718342,"domain_scores_codex":[0.9987987,0.0001643684,0.0001538031,0.0004164553,0.0002754129,0.0001911522],"domain_scores_gemma":[0.9971399,0.0008268254,0.000253543,0.0007493419,0.0007255705,0.0003048589],"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":[0.00002761039,0.0000104252,0.0003233838,0.0005240244,0.00001484823,0.00001458376,0.00002472309,0.0001084931,0.000114983,0.0003859316,0.9971983,0.001252788],"study_design_scores_gemma":[0.00006771094,0.000006743992,0.00155626,0.0001794063,0.00001397818,0.00003421095,0.00006807152,0.0001279534,0.0001879034,0.0007452297,0.9969947,0.00001779895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003279007,0.00002359633,0.00004719196,0.00003320363,0.00001050994,0.000005110978,0.9988167,0.000392111,0.000638889],"genre_scores_gemma":[0.0001427008,0.00003159065,0.0002011709,0.00004272543,0.000003109179,0.00004380935,0.9988949,0.0001854376,0.0004547375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8246561,"threshold_uncertainty_score":0.5865839,"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."}}