{"id":"W6905819053","doi":"10.15468/dl.kcgptp","title":"Occurrence Download","year":2023,"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","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":[0.0009084425,0.001976759,0.001540172,0.004774203,0.001005855,0.002603718,0.00284049,0.002176986,0.1776349],"category_scores_gemma":[0.006451824,0.0009659349,0.001355981,0.00973154,0.0004043847,0.002450413,0.002696508,0.002021141,0.2451552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001744244,"about_ca_system_score_gemma":0.002532561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02476547,"about_ca_topic_score_gemma":0.03928608,"domain_scores_codex":[0.9989383,0.0001325069,0.0001367813,0.0003633169,0.0002458033,0.0001832838],"domain_scores_gemma":[0.9975312,0.0006815619,0.0002145053,0.000638996,0.0006762677,0.0002573936],"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":[0.00003102026,0.000009949243,0.0003860698,0.0005541026,0.00001510347,0.00001527818,0.0000212361,0.0001345767,0.0001128837,0.0003937786,0.9966552,0.001670837],"study_design_scores_gemma":[0.00006867645,0.000007209839,0.001563966,0.0001888623,0.00001336516,0.00003480592,0.00006184863,0.000162716,0.0001824053,0.0007684263,0.9969312,0.00001656857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003783359,0.00002852667,0.00005457954,0.00003864261,0.0000127847,0.000005246404,0.9985961,0.0005037563,0.0007225676],"genre_scores_gemma":[0.0001607178,0.0000370773,0.0002261801,0.00004862386,0.000003724722,0.00004113491,0.9987986,0.0001781656,0.0005056709],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.822365,"threshold_uncertainty_score":0.5942481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}