{"id":"W6906238109","doi":"10.15468/dl.yt8re5","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; Set (abstract data type)","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":[0.001142732,0.001869042,0.001712911,0.005340477,0.001069236,0.00295284,0.003036906,0.002053963,0.1906422],"category_scores_gemma":[0.007096156,0.001021255,0.00117946,0.01107203,0.0004608738,0.002505644,0.002760967,0.002105743,0.2470969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565879,"about_ca_system_score_gemma":0.002404966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02010377,"about_ca_topic_score_gemma":0.03340951,"domain_scores_codex":[0.9988188,0.0001590425,0.0001582307,0.0004141183,0.0002622172,0.000187562],"domain_scores_gemma":[0.9970879,0.0008535423,0.0002702101,0.0007546246,0.0007190909,0.0003147073],"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":[0.0000265455,0.000009787015,0.0003326693,0.0005371756,0.00001475245,0.00001350169,0.00002378182,0.0001041977,0.0001034993,0.0003952762,0.9971282,0.001310628],"study_design_scores_gemma":[0.00006311815,0.000006496464,0.001556449,0.000194243,0.00001429378,0.00003234149,0.00007172769,0.0001185802,0.000165258,0.0007812078,0.996979,0.00001720726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003182645,0.000022309,0.00004538189,0.00003245823,0.00001093347,0.000004620282,0.998909,0.0003332428,0.0006102458],"genre_scores_gemma":[0.0001492635,0.00003348364,0.0002010838,0.00004472896,0.000003425544,0.00004378625,0.99885,0.0001799166,0.000494272],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8093578,"threshold_uncertainty_score":0.6377617,"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."}}