{"id":"W6924609797","doi":"10.15468/dl.kwwv9g","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":[0.0009983339,0.001972177,0.001620462,0.004825738,0.0009812055,0.002648072,0.002797868,0.002109356,0.1846178],"category_scores_gemma":[0.006340375,0.0009347991,0.001134772,0.009675127,0.0004465199,0.002550604,0.002623051,0.002037255,0.2458706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532265,"about_ca_system_score_gemma":0.00231457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01908757,"about_ca_topic_score_gemma":0.03420727,"domain_scores_codex":[0.9989526,0.00014918,0.0001304148,0.0003784275,0.000220264,0.000169056],"domain_scores_gemma":[0.997319,0.0007847195,0.0002470616,0.0007077525,0.0006365549,0.0003048575],"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":[0.00002679435,0.00001047916,0.0003232794,0.0005228737,0.00001327962,0.00001335488,0.0000220739,0.0001121688,0.00009742712,0.0003619384,0.9972215,0.001274849],"study_design_scores_gemma":[0.00007005547,0.00000729116,0.001505945,0.0001823966,0.00001248545,0.00003113315,0.0000647134,0.0001313772,0.0001598503,0.0008437805,0.9969739,0.00001709011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003385043,0.0000229795,0.00004269402,0.00003381739,0.00001068132,0.000005011238,0.998847,0.0003575647,0.0006463741],"genre_scores_gemma":[0.0001590026,0.00003258517,0.0002099797,0.00004944948,0.000003693903,0.00004552017,0.9988015,0.0001747291,0.0005235231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8153822,"threshold_uncertainty_score":0.6176081,"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."}}