{"id":"W6924942826","doi":"10.15468/dl.wjcxde","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); 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":[0.001130241,0.00199655,0.001667343,0.005231529,0.001116953,0.002849258,0.003087,0.002132628,0.1821342],"category_scores_gemma":[0.006625723,0.001028645,0.001202243,0.01012324,0.0004785793,0.00260666,0.002813048,0.002181337,0.2390358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620165,"about_ca_system_score_gemma":0.00246715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02131346,"about_ca_topic_score_gemma":0.03722131,"domain_scores_codex":[0.998827,0.0001623143,0.0001532824,0.0004156791,0.0002554408,0.0001863662],"domain_scores_gemma":[0.9972186,0.0008114797,0.000249871,0.0007506076,0.0006555676,0.0003137879],"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":[0.00002630528,0.0000101578,0.0003207317,0.0004895077,0.00001367228,0.00001445091,0.00002454919,0.0001068016,0.0001013589,0.0004057504,0.9972365,0.001250174],"study_design_scores_gemma":[0.00006463403,0.000006538415,0.001478471,0.0001771831,0.00001312508,0.00003579251,0.00007055356,0.0001256275,0.0001617196,0.0008086715,0.9970403,0.00001730099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003509981,0.00002274205,0.00005183183,0.00003489246,0.00001185201,0.000005111058,0.9987648,0.0003889147,0.0006849345],"genre_scores_gemma":[0.0001418545,0.00003020192,0.0002159471,0.00004464755,0.000003235507,0.00004101289,0.9988604,0.0001810015,0.0004817356],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8178658,"threshold_uncertainty_score":0.6092995,"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."}}