{"id":"W6887106460","doi":"10.15468/dl.qwjtpt","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); Alien; Range (aeronautics); The Internet","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":[0.0009410428,0.001962551,0.001548953,0.005110309,0.0009970028,0.002555234,0.002645938,0.002121188,0.1679737],"category_scores_gemma":[0.006233979,0.0009016319,0.001254843,0.009271149,0.0004299322,0.002301414,0.00250193,0.001943049,0.2198354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544012,"about_ca_system_score_gemma":0.002283064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02244586,"about_ca_topic_score_gemma":0.03473999,"domain_scores_codex":[0.9990023,0.0001389964,0.0001247968,0.0003540095,0.0002142739,0.0001656641],"domain_scores_gemma":[0.9974393,0.0007998137,0.0002203935,0.0006370198,0.0006226597,0.0002806911],"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":[0.00002786834,0.00001183691,0.000396132,0.0005485709,0.00001396921,0.00001601801,0.00002350595,0.0001240547,0.0001117515,0.0003191568,0.9969925,0.001414636],"study_design_scores_gemma":[0.00008017651,0.00001010768,0.002121811,0.0002303674,0.00001613261,0.0000421353,0.00009070749,0.0001938094,0.0001952613,0.0007908333,0.996209,0.00001963334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004473927,0.00002873621,0.00004249185,0.00004177304,0.00001338363,0.000005926892,0.9988336,0.0003924085,0.0005969391],"genre_scores_gemma":[0.0001812542,0.00003729311,0.0002071497,0.00005269941,0.000004205842,0.00004875051,0.9988182,0.0001529041,0.0004975657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8320264,"threshold_uncertainty_score":0.5619279,"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."}}