{"id":"W6962405131","doi":"10.15468/dl.pa5seb","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); State (computer science); 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":[0.001038296,0.002010727,0.001538276,0.004984005,0.001013312,0.002559923,0.002854242,0.002107925,0.1502064],"category_scores_gemma":[0.005987393,0.0009201295,0.001178815,0.009503243,0.000473372,0.002391041,0.00256861,0.002066183,0.2105139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155642,"about_ca_system_score_gemma":0.00226613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01979147,"about_ca_topic_score_gemma":0.03318717,"domain_scores_codex":[0.9989284,0.0001563925,0.0001367709,0.0003775744,0.000228732,0.0001720803],"domain_scores_gemma":[0.997371,0.0007616698,0.0002412736,0.0007200761,0.0006168787,0.0002892468],"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":[0.00002783711,0.00001228049,0.0003745076,0.0005199781,0.00001461259,0.00001487239,0.00002402381,0.0001293728,0.0001115695,0.0003718938,0.9970765,0.001322557],"study_design_scores_gemma":[0.00007388661,0.000008464815,0.001798851,0.000185144,0.00001394,0.0000382158,0.00007895047,0.0001592031,0.0001869179,0.0007840469,0.9966543,0.00001796077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004429356,0.00002722665,0.0000467147,0.00003615418,0.00001308456,0.000005585494,0.9988527,0.0003600136,0.0006142122],"genre_scores_gemma":[0.0001641956,0.00003190532,0.0001985687,0.00004372008,0.00000365153,0.00004403114,0.9989263,0.0001369321,0.0004505574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8497936,"threshold_uncertainty_score":0.5024906,"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."}}