{"id":"W6887244599","doi":"10.15468/dl.tz9pbe","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); Alien","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":[0.0009597506,0.001923739,0.001536331,0.005065924,0.001003445,0.002612794,0.002659323,0.002050499,0.1657708],"category_scores_gemma":[0.006430606,0.0008747114,0.001239541,0.009605514,0.0004339834,0.00241295,0.002544652,0.001911586,0.2288614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524379,"about_ca_system_score_gemma":0.002298538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02275378,"about_ca_topic_score_gemma":0.03483091,"domain_scores_codex":[0.9989579,0.000146123,0.000131925,0.0003674832,0.0002240402,0.0001725427],"domain_scores_gemma":[0.9972373,0.000823402,0.0002382216,0.0007268663,0.0006801166,0.0002940708],"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":[0.00002835313,0.0000115303,0.0004015308,0.0005149751,0.0000134508,0.00001518215,0.00002323068,0.0001246057,0.0001021811,0.0003399743,0.996942,0.001482884],"study_design_scores_gemma":[0.00006917078,0.000009623282,0.001977952,0.0002132082,0.00001451509,0.00003705815,0.00008674569,0.0001764127,0.0001821335,0.0007752092,0.9964394,0.00001850106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000454592,0.00002814293,0.00004411573,0.00004186189,0.00001371147,0.000005804732,0.9987973,0.0004130976,0.0006104267],"genre_scores_gemma":[0.000171449,0.00003651681,0.0002010377,0.00005050351,0.000004152104,0.00004444779,0.9988279,0.0001527494,0.0005113553],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8342292,"threshold_uncertainty_score":0.5545586,"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."}}