{"id":"W6905913667","doi":"10.15468/dl.qzmadk","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); R package; Range (aeronautics); Confidentiality","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":[0.0009498576,0.00199949,0.001577147,0.00479334,0.001033296,0.002453812,0.002865358,0.002107921,0.1514331],"category_scores_gemma":[0.005679204,0.0009186088,0.001210165,0.009659317,0.0004468505,0.002187572,0.00251563,0.002017268,0.217454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615624,"about_ca_system_score_gemma":0.002366689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02380902,"about_ca_topic_score_gemma":0.03870011,"domain_scores_codex":[0.9990085,0.0001285401,0.0001244286,0.000343382,0.0002263837,0.0001688136],"domain_scores_gemma":[0.9976781,0.0006431003,0.0002122293,0.0006181819,0.0005738812,0.000274654],"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":[0.00002918864,0.00001142996,0.000370905,0.0004950194,0.00001435333,0.00001534759,0.0000255884,0.0001205575,0.0001309803,0.0003916377,0.9970392,0.001355875],"study_design_scores_gemma":[0.00007141811,0.000007843831,0.0018268,0.000181028,0.00001408421,0.00003770356,0.00007217429,0.0001549501,0.0002059809,0.0007374657,0.9966733,0.0000173055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000433546,0.00002560685,0.00004789371,0.0000345721,0.00001161796,0.000005235245,0.9987412,0.0004194261,0.0006711849],"genre_scores_gemma":[0.0001547231,0.00002984667,0.0001961622,0.00004260336,0.000003000047,0.00003963291,0.9989441,0.000156074,0.0004338983],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8485669,"threshold_uncertainty_score":0.5065942,"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."}}