{"id":"W6943416507","doi":"10.15468/dl.s946gr","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","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":[0.0009804146,0.001971036,0.001599136,0.004969382,0.0009848347,0.002515096,0.002818757,0.002027765,0.1559609],"category_scores_gemma":[0.005680871,0.0009035651,0.001162712,0.009683016,0.0004559931,0.002348332,0.002570879,0.002017406,0.2151875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495303,"about_ca_system_score_gemma":0.002225531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01948447,"about_ca_topic_score_gemma":0.03408216,"domain_scores_codex":[0.9989791,0.0001421042,0.0001291619,0.0003580188,0.0002227605,0.0001687349],"domain_scores_gemma":[0.9976292,0.0006519202,0.0002254605,0.0006529752,0.0005606632,0.0002798403],"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":[0.00002930171,0.00001167395,0.0003866432,0.0005337363,0.00001496839,0.00001545488,0.00002477572,0.0001285897,0.000122859,0.0003924629,0.9969411,0.001398498],"study_design_scores_gemma":[0.00006873486,0.000007808943,0.001760937,0.0001727137,0.00001319242,0.00003682071,0.00007284766,0.0001374647,0.0001863935,0.0007683714,0.9967577,0.00001710228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004559561,0.00002739636,0.00004753059,0.00003459778,0.0000120522,0.0000052598,0.9987914,0.0003853186,0.0006508901],"genre_scores_gemma":[0.0001652855,0.00003286024,0.0002028424,0.00004297387,0.000003401382,0.00004065848,0.9988868,0.0001491679,0.0004761405],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8440391,"threshold_uncertainty_score":0.5217413,"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."}}